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Browse 122+ Remote E Learning Jobs in September 2020 at companies like Neuronbits, User Research International and Zeroeyes with salaries ranging from $50,000/year to $300,000/year working as a Machine Learning Engineer, Paid Research Study For Machine Learning Developers Data Scientists or Machine Learning Engineer. Last post

Browse 122+ Remote E Learning Jobs in September 2020 at companies like Neuronbits, User Research International and Zeroeyes with salaries ranging from $50,000/year to $300,000/year working as a Machine Learning Engineer, Paid Research Study For Machine Learning Developers Data Scientists or Machine Learning Engineer. Last post

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neuronbits


Machine Learning Engineer

verified
🌏 Worldwide

Machine Learning Engineer


neuronbits

🌏 Worldwide

machine learning

 

artificial intelligence

 

engineer

 

machine learning

 

artificial intelligence

 

engineer

 
[NEURONBITS](http://neuronbits.com) is going through an extensive growth fase. We are looking for people who are sharp, creative and hardworking, with an unwavering desire to be the best. In return we provide a competetive compensation package, a friendly, challenging, and motivating working environment.\n\n**All positions at Neuronbits are fully remote**\n\nRenumeration package\n\n- € 40 - 60k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs Machine Learning Engineer at Neuronbits you will support us to improve the quality of our data and possibilities to analyze our data to get a competitive advantage.\n\n\n**Primary responsibilities:**\n\n- Applies supervised and unsupervised learning techniques for solving pattern recognition problems (detection, classification, regression).\n\n- Maintain and improve machine learning models in production and build new ones.\n\n- Understands and interprets data to come up with optimal feature sets.\n\n- Prepares datasets to train and validate models.\n\n- Deploys the machine learning algorithms into production environment.\n\n- Documents and presents the work in a complete and consistent way.\n\n\n**Ideally, you’ll have:**\n\n- At least 3 years of experience in Machine Learning / Data Science.\n\n- Good knowledge and proven experience in supervised/unsupervised learning in different applications: image recognition, classification, recommendation, etc.\n\n- Proven experience in deploying and maintaining Machine Learning algorithms in production.\n\n- Solid programming skills in Python, ++ and/or Java\n\n- Experience in Apache Spark with Scala\n\n- Background on Hadoop ecosystem (Hive, Sqoop, Oozie....).\n\n- Knowledge on databases (SQL and NoSQL). \n\n#Salary\n40k - 60k / year\n\n\n#Location\n🌏 Worldwide


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# How do you apply?\n\n This is an excellent opportunity with unlimited growth and earning potential for a driven, tenacious, intelligent, articulate, ambitious and intuitive person. To apply for this opportunity, please send your resume, cover letter and salary expectations.
Apply for this position

User Research International


Paid Research Study For Machine Learning Developers Data Scientists

Paid Research Study For Machine Learning Developers Data Scientists


User Research International


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called Machine Learning Cloud Study. We are looking for currently employed Machine Learning Developers and Data Scientists who use AWS Machine Learning Products. This study is a one-time Remote via an online meeting. We’re offering $150 for participation in this study. Session lengths are 60 Minutes. These studies provide a platform for our researchers to receive feedback for existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate.  If it's a match, we'll reach out with a formal confirmation and any additional details you may need.\n\nI have summarized the study details below. In order to be considered, you must take the survey below. Thank you!\n\nStudy: Machine Learning Cloud Study\n\nGratuity: $150\n\nSession Length: 60 Minutes\n\nLocation: Remote\n\nDates: August 31st to September 4th (specific session times are located within the survey)\n\nSurvey: Machine Learning Cloud Study


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Netdata Inc.


Senior Machine Learning Engineer


UTC -3 to UTC +5

Senior Machine Learning Engineer


Netdata Inc.

UTC -3 to UTC +5

machine learning

 

deep learning

 

statistical models

 

senior

 

machine learning

 

deep learning

 

statistical models

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
Netdata is looking for a Senior Machine Learning Engineer with extensive experience in building ML pipelines and highly-available production-grade services powered by sophisticated deep learning, statistical or other machine learning methodologies and models. Help us build the most advanced anomaly detection, forecasting, incident prevention and alerting system in the world!\n\nAs a Senior Machine Learning Engineer at Netdata, you will be responsible for building anomaly detection, forecasting and incident prevention, classification and identification systems to power both our open source netdata package and our commercial cloud offering. To do this you will need to explore and experiment with both unsupervised anomaly detection on streaming data, as well as supervised anomaly detection using ensembles of deep-learning and statistical approaches.\n\n**Why join Netdata**\n\n* We are a team of industry veterans and senior engineers that prioritize performance and ease of use over anything else.\n* We embrace remote work and great work-life balance.\n* We are solving hard problems that affect thousands of organisations worldwide.\n* We are deeply committed to Open Source and love our community.\n* We deeply care about system performance.\n\n**When you join Netdata, you can expect**\n\n* A competitive salary.\n* A generous stock plan.\n* To join a venture-backed startup working with some of the most sophisticated investors of Silicon Valley.\n* To be part of our world-class team and interact with an amazing community.\n* To see first-hand how to grow and succeed in an engineering-first, open source-based company.\n* To find a culture that rewards doers.\n\n*Netdata is an Equal Opportunity Employer. We are committed to providing an inclusive work environment free of discrimination and harassment for everyone, regardless of race, color, religion, national or ethnic origin, sex, age, sexual orientation, gender identity, disability, sexual orientation, marital status, military service or other non-merit factor.*\n\n# Responsibilities\n * Build ML/statistical models applicable to large-scale monitoring and telemetry applications, including but not limited to detecting anomalies based on streaming data, in batch, whether that data is annotated (supervised) or raw (unsupervised)\n* Build the accompanying algorithms and pipelines capable of training, validating, testing and serving the models you designed\n* Bulid highly-available services to serve the models on production\n* Work with our backend engineers to integrate your models throughout Netdata cloud ecosystem\n* Work with our open source community to integrate your models in the open source Netdata agent\n* Stay up-to-date on emerging technologies. \n\n# Requirements\n**Required experience**\n\n* A Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics or equivalent. (Ph.D or higher degrees are highly preferred)\n* 3+ years of experience with Deep Learning and/or Anomaly Detection in production systems. We expect you to be a competent engineer and comfortable with understanding and implementing high-availability and high-performance systems.\n* Familiarity with Tensorflow and/or PyTorch.\n* Familiarity with Python for the creation of ML models and pipelines.\n* Self motivated, conscientious, with a problem-solving, hands-on mindset.\n* Perfectionist where it matters, but also pragmatic, with effective time management skills.\n* Team player, eager to help.\n* Excellent command of spoken and written English\n\n**Preferred experience**\n\n* Familiarity with distributed systems, modern software architectures and environments, including Orchestrated Containers (e.g. Kubernetes), Microservices etc.\n* Familiarity with Systems Monitoring concepts, tooling and frameworks\n* Experience in building Anomaly Detection systems\n* Open source contributor\n* Agile Development Methodology \n\n#Salary\n$120,000\n\n\n#Location\nUTC -3 to UTC +5


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Stripe


Machine Learning Engineer Merchant Intelligence

verified
North America

Machine Learning Engineer Merchant Intelligence


Stripe

North America

fintech

 

machine learning

 

finance

 

engineer

 

fintech

 

machine learning

 

finance

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
*The Merchant Intelligence group is responsible for Stripe’s at-scale understanding of the businesses and people that use us. This is a priority both to protect Stripe and also to optimize our products. We work across the technical stack: from machine learning over our users’ data to integrating into Stripe’s products to building new products for our users. \n*\nStripe builds economic infrastructure for the internet, supporting businesses worldwide ranging from fledgling upstarts to Fortune 500s. These businesses place significant trust in Stripe to accelerate their success. This makes the user-facing teams at Stripe mission critical: these teams provide fast, accurate answers in the context of our users’ businesses across phone, email, and chat.\n\n# Responsibilities\n **You will:**\n* Design machine learning platforms and pipelines for training and running machine learning models that improve the efficiency and accuracy of our support operations. This could involve:\n* Build a predictive model that uses the context of the conversation and user to help us fast track a user to the best channel (phone, chat, or email) and person for help\n* Improve the accuracy of our interactions by building a workflow suggestion model that helps surface the most relevant workflow for any given question, which is especially important as our content grows in size\n* Write simulation code using Scalding to run MapReduce jobs on our Hadoop cluster to help us understand what would happen across different segments if we changed how we action our models\n* Collaborate with our machine learning infrastructure team to build support for new model types into our scoring infrastructure \n\n# Requirements\n**We’re looking for someone who has:**\n* An advanced degree in a quantitative field (e.g. stats, physics, computer science) and some experience in software engineering in a production environment\n* 4+ years industry experience doing software development on a data or machine learning team\n* Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis\n* The ability to thrive in a collaborative environment involving different stakeholders and subject matter experts\n* Pride in working on projects to successful completion involving a wide variety of technologies and systems\n* Comfort working directly with your users\n\n#Location\nNorth America


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
CVEDIA helps develop and deploy autonomous systems today. Our suite of tools substantively accelerates the time to train, test and validate neural network/deep learning algorithms. Our customers are driving the future of autonomous application and we are thrilled to help fuel their efforts.\n\nWe are seeking a remote developer responsible for developing features for virtual sensors based on Unity engine. Your primary responsibilities will be to implement shader and scripting functionality translating design ideas, concepts, and requirements into highly performant code. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.\n\nResponsibilities\nTranslate design specification into functional features\n\nCommunicate with other team members to establish effective pipeline and integrate media assets\n\nDesign, build, and maintain efficient, reusable, and reliable code\n\nEnsure the best possible performance, quality, and responsiveness of applications\n\nIdentify bottlenecks and bugs, and devise solutions to address and mitigate these problems\n\nHelp maintain code quality, organization, and automatization\n\nSkills\nExcellent knowledge of Unity, including experience with shaders, 3D concepts,rendering pipeline, scripting, textures\n\nExperience with HLSL\n\nExperience with compute and geometry shaders\n\nExperience with CUDA is a plus\n\nExperience with rendering debug tools, such as Frame debugger, RenderDoc, Pix and NSight\n\nExperience optimizing memory and space usage\n\nPrior experience with a well-known mobile title or AAA titles are a significant asset\n\nAbility to constantly learn and stay in touch with evolving 3D standards and development technologies\n\nStrong understanding of object-oriented programming\n\nFamiliarity with current design and architectural patterns\n\nKnack for writing clean, readable, and easily maintainable code\n\nProficient knowledge of code versioning tools, such as PlasticSCM\n\n\nWhat we offer:\n\nJob location is in Cyberspace.\n\n- Communication with the all team members is done through online tools\n\n- Salary will be paid once a month with a wire transfer\n\n- Job capacity: Full time - Monday - Friday (8 hours daily)\n\nHow should you apply for this job?\n\nPlease state on the mail subject the job position you are applying for.\n\nOnly applications written in English are going to be processed!\n\nDue to time zone difficulties Only applications that are based in Europe will be processed.\n\nPlease mention your country of origin in the email. \n\nPlease send your applications to jobs at cvedia dot com\n\nMore information about us: https://syncity.com\n\n#Location\n🇪🇺 EU-only


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
CVEDIA is a funded Start-Up that helps develop and deploy autonomous systems today. Our suite of tools substantively accelerates the time to train, test and validate neural network/deep learning algorithms. Our customers are driving the future of autonomous application and we are thrilled to help fuel their efforts.\n\nCVEDIA is seeking a Technical Writer that has experience or advanced knowledge of machine learning to create compelling, audience-focused content about our platform, our products, and the advanced technologies powering them. We are looking for someone who can draft original, well-researched, and in-depth content about complex technological concepts.\n\nThe Senior Technical Writer will play a vital role in getting our customers up and running quickly and making sure that the details of our products are clearly described and easy to follow. You will also be responsible for developing and maintaining internal documentation for CVEDIA. You will be responsible for the end-to-end creation and publication of high quality content, user guides, customer release notes for technical audiences.\n\nYou are comfortable multi-tasking in a fast-paced, ever-changing environment. You understand writing for a wide range of business and technical audience in addition to being a creative and analytical problem solver. The ideal candidate must have both a technical background that enables them to easily interact with software developers and a demonstrated ability to deliver high-quality technical publications.\nKey Responsibilities\nWork directly with development teams to produce accurate, clear and concise content.\nParticipate in all aspects of the documentation process, from planning to content maintenance.\nWrite end-user and internal-user content that describe CVEDIA functionality, tools, systems, and processes.\nConduct technical and editorial reviews of CVEDIA documentation content.Basic Qualifications.\n\nRequired experience\nStrong grammar skills.\nStrong written and verbal communication skills.\nA minimum of 5 years in a technical writing role with previous experience or knowledge of machine learning.\nProven experience designing and delivering business-oriented documentation.\nExperience working directly with product development teams.\nExperienced using multiple documentation tools to develop base templates and manipulate output styles.\nExperience with publishing systems.\nPreferred qualifications\nDegree in English, Technical Writing, Computer Science or related field highly desirable.\nIs considered a plus\nA thorough understanding of software development (C++, Python).\nPrevious experience working in an agile environment.\nPassion to thrive in a fast-paced, ever-changing environment.\nA proactive and open-minded attitude to resolving problems and delivering results.\nExperience producing video tutorials and presentations.\nStrong attention to detail.\nStrong interpersonal skills.\nWhat we offer\nJob location is in Cyberspace.\n20 days of paid holidays on top all bank state days and Holidays\nJob capacity: Monday - Friday (8 hours daily)\nFlexible working hours to come toward personal needs.\nSalary will be paid once a month by wire transfer.\n\nAdditional requirements\n\nPlease state on the mail subject the job position you are applying for.\nPlease send us a few samples of your documentations, relevant to CVEDIA\nOnly applications written in English are going to be processed!\nDue to time zone difficulties, only applications that are based in Europe will be processed.\nPlease mention your country of origin in the email.\nPlease send your applications to jobs at cvedia dot com.\n\nMore information about us: https://syncity.com\n


See more jobs at Ofer Eshed

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. \n\n**How you’ll make an impact:**\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What we’re looking for:**\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*


See more jobs at Doximity

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. \n\n**How you’ll make an impact:**\n\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What we’re looking for:**\n\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button


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# How do you apply?\n\n This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Bothouse


Machine Learning ai Lead

Machine Learning ai Lead


Bothouse


data science

 

machine learning

 

ai

 

exec

 

data science

 

machine learning

 

ai

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
‼️ [Machine Learning/AI Lead needed!] ‼️\n--------------------------------------------------------------\n\n🕦 Full-time\n\n🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n💰 $50 - $90 an hour\n\n⌛ Duration: 4 - 12 months with the ability to extend\n\n🏁 Start: beginning of August 2018\n\n🇳🇴 2 week-long visit in Oslo at the beginning of the project\n\n👥 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYou’ll be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace client’s entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n 👉 Contact: [email protected]


See more jobs at Bothouse

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nHow you’ll make an impact:\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nWhat we’re looking for:\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.


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Visit Doximity's website

# How do you apply?\n\n This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.

Doximity


Machine Learning Engineer

verified

Machine Learning Engineer


Doximity


git

 

python

 

machine learning

 

data science

 

git

 

python

 

machine learning

 

data science

 
This job post is closed and the position is probably filled. Please do not apply.
Why work at Doximity?\n\nDoximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.\n\nSkills & Requirements\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nWhat you can expect\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nTechnical Stack\n\n-We historically favor Python and MySQL (SQLAlchemy), but leverage other tools when appropriate for the job at hand.\n-Machine learning (linear/logistic regression, ensemble models, boosted models, deep learning models, clustering, NLP, text categorization, user modeling, collaborative filtering, topic modeling, etc) via industry-standard packages (sklearn, Keras, NLTK, Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n-A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n-Storage solutions: Percona, Redshift, S3, HDFS, Hive, Neo4j, and Elasticsearch.\n-Computational resources: EC2, Spark.\n-Workflow management: Airflow.\n\nFun facts about the Data Science team\n\n-We have one of the richest healthcare datasets in the world.\n-We build code that addresses user needs, solves business problems, and streamlines internal processes.\n-The members of our team bring a diverse set of technical and cultural backgrounds.\n-Business decisions at Doximity are driven by our data, analyses, and insights.\n-Hundreds of thousands of healthcare professionals will utilize the products you build.\n-A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n-We like to have fun - company outings, team lunches, and happy hours!


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ZeroEyes


Machine Learning Engineer

verified

Machine Learning Engineer


ZeroEyes


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nZeroEyes was founded by military special operations veterans, self-starters, and elite technologists. Our mission is to prevent gun violence and mass shootings by leveraging Artificial Intelligence.\n\n\nWe are recruiting those interested in joining an extremely high growth startup. If you are searching for a job that asks of you the bare minimum, please do not apply. Your position, perseverance, and skillset are crucial to our mission success. You will be asked to break new ground. We are not looking for passion; we are looking for obsession in our mission to save lives. If you lack the minimum requirements, but believe you are the right candidate, please apply and let us know why you are still a fit. We look forward to speaking with you.\n\n\nIf you are missing some of the skills but believe you are the right candidate, tell us why.\n\n\nResponsibilities:\n\n\n* Build and manage our AI development and operations infrastructure\n\n* Optimize deep learning computer vision training and testing environments\n\n* Visualize training outputs and experiment data in WandB, Tableau, etc.\n\n* Design and automate experiments and data capture methods\n\n* Strategically guide developers and stakeholders as AI SME during new product development\n\n* Develop APIs and integrations that enable our AI models to communicate with partners and customers\n\n* Implement measures to protect our models and data pipelines\n\n* Stay up to date on latest AI research\n\n\n\n\n\nSkills and Experience:\n\n\n* At least 5 years hands-on programming experience working on enterprise products.\n\n* Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, Julia or MatLab.\n\n* Experience building AI models in platforms such as Caffe, TensorFlow or PyTorch\n\n* Installing Nvidia drivers, Cuda, cuDNN\n\n* Linux, Kubernetes and Helm Charts\n\n* Experience with AWS, GCP, Azure, etc a plus\n\n* OpenCV, Nvidia Docker \n\n* Deepstream SDK, TensorRT\n\n* Agile/Jira, Github\n\n\n\n\n\nThis is not a research role. If your only software experience is quickly hacking Python models using libraries like Numpy and Pandas this job isn’t for you.\n\n\nBe ready to show us models you have created and discuss them in great detail.\n\n\nYou will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices. \n\n\nPlease send resumes to [email protected]


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Pachama


Machine Learning Engineer

Machine Learning Engineer


Pachama


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
We are building the world‘s first verified forest carbon marketplace. We watch forests, track carbon offsets, and connect buyers to high-quality projects.  We need your help to bring transparency and to increase the use of forests to remove carbon. \n\nWe are looking for a Machine Learning Engineer to help us develop state of the art remote sensing applications. You will be working with an A team on the mission of restoring nature to solve climate change. Our datasets include high resolution imagery from Maxar and Planet Labs, LiDAR and open satellite imagery. We are backed by like minded and top investors, such as Saltwater Capital, Chris Sacca, and Paul Graham.\n\nJob is remote, but we prefer candidate to be within three hours of the Pacific time zone.\n\nResponsibilities\n- Develop and maintain Pachama's remote sensing verification models.\n- Interpret models and scientific studies to translate them into clean (and beautiful) code.\n- Develop and improve our pre-processing pipeline.\n\nRequirements\n- Experience processing satellite imagery at scale.\n- Experience training and serving computer vision models.\n- 5+ years of experience with Python.\n- 3+ years of experience with TensorFlow and/or PyTorch.\n- Deep understanding of Data Structures and Algorithms.\n- Experience working in fast paced teams.\n- Hacker mentality.\n- Beginner's mind.\n\nNice to Have\n- Experience with PostGIS.\n- Experience with Beam.\n- Experience with Kubernetes.\n- Experience processing LiDAR.\n- CS Degree or equivalent.\n\n\n


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Advent Health Partners


Machine Learning Specialist

Machine Learning Specialist


Advent Health Partners


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nThe Machine Learning Specialist advances Advent Health Partners’ machine learning strategy.\nAdvent has a number of tools designed to display and gather data. This data has deeper\nmeaning and it is our goal as a company to build a machine learning architecture to maximize\nthe interpretation of this data in order to develop reliable predictive models\n\nEssential Duties and Responsibilities\n Communicate effectively with executive and clinical personnel\n Identify trends and relationships in the data used for creating and testing hypotheses.\n Mine and analyze structured/unstructured data to create algorithms\n Identify information-rich features in large target datasets\n Formulate innovative solutions to problems where machine learning is applicable\n Collaborate with Principal Scientist, Product Manager, Senior Application Developer and\nVP Engineering to produce the best possible end product\n Recommend a scalable, reliable hardware/software/saas platform\n Maintain discussions of proposed features as Github Issues\n Tweak and debug in collaboration with peers\n Maintain Slack conversations during working hours\n Provide work effort estimates to management to assist in setting priorities\n Deliver timely work in accordance with estimates\n Solve problems as they arise and communicate potential roadblocks to manage\nexpectations\n Adhere strictly to all security policies.\n\nMinimum Qualifications (Knowledge, Skills, and Abilities)\n Advanced Degree in a quantitative field such as Computer Science, Physics, Statistics,\nor related fields is preferred\n 2+ years in machine learning post-doc or professional\n Demonstrated experience working with both structured and unstructured data\n Demonstrated experience in identifying information-rich features and/or strategies for\nidentifying information-rich features in large datasets\n\n Knowledge of a variety of machine learning techniques (clustering, classification,\nregression, neural networks, etc.) and their real-world advantages/drawbacks\n Strong programming skills in Python and relevant ML libraries such as scikit-lern,\nTensorFLow and PyTorch.\n Experience in using NLP modules within Python\n Familiar with OCR modules within Python\n Experience in healthcare industry is a plus\n Experience in applying core Machine Learning methodologies: Regression, Naive\nBayesian classifier, Clustering, Matrix Factorization, k-Nearest Neighbors, Natural\nLanguage processing, Decision trees, Support Vector Machines, Neural Networks/ Deep\nLearning, Convolution Neural Networks\n Experience with AWS\n Proficient in REST, JSON\n Understanding of unit testing\n Strong written and verbal communication skills\n An experienced grasp of version control, branches and git in particular\n Thorough understanding of working in development, staging and production\nenvironments\n Unix-related skills including installation with apt-get, compiling from source, intermediate\nshell scripting


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FineTune Learning


Senior Full Stack Software Engineer

Senior Full Stack Software Engineer


FineTune Learning


full stack

 

dev

 

senior

 

engineer

 

full stack

 

dev

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a full-stack engineer to develop on our educational platform. In close partnership with CollegeBoard, we serve millions of high school students and their teachers every day. Our 100% remote team is highly diverse, talented and experienced, with a shared passion for the quality of the product we create and a commitment to being the kind of good-natured team everyone loves to be on. \n\n Our platform is a Python/Flask backend with a React frontend on AWS. As this is a senior position you’ll need to know Python and Javascript and have 5 years of relevant experience that will allow you to contribute at a senior level soon after on-boarding. We value excellent communication and interpersonal skills, both for the benefit of our own interactions within the team and because of every engineer has a direct relationship with our partners at CollegeBoard.\n \n Here are some qualities we value\n\n\n* An appreciation of and ability to work cross-culturally as we are a fully distributed, diverse, and inclusive community.\n\n* Responsibility and self-motivation so that we can trust you to work hard without a lot of oversight, but also to reach out for help when needed.\n\n* Highly collaborative and eager to help out other developers, QA and anyone else who needs help. We’re nice to each other and want to keep it that way. Bonus points for a good sense of humor.\n\n* Having sound engineering fundamentals. Writing performant, understandable and maintainable code with robust tests and results in few bugs.\n\n* Desire to continuously, learn, improve and grow.\n\n* Experience in relational schema and data migrations with the ability to optimize indexes and data for database performance\n\n\n


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eyeo


Senior Machine Learning Engineer

Senior Machine Learning Engineer


eyeo


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nGet to know us\n\neyeo is an open-source software company that builds products like Adblock Plus, Adblock Browser and Flattr. By leveraging distribution partnerships, we bring ad-blocking technology everywhere, giving users control over their online experience while offering creators, publishers and advertisers more ways to earn money for the free content they provide.\n\nIn combining our reach based on distribution partnerships and our own products, our technology runs on over 150 million devices.\n\nAt eyeo, we’re passionate about user agency, personal privacy, sustainability and keeping the web an open, fair resource for everyone.\n\nHow we work\n\neyeo colleagues are based all over the world. We practice agile and work in distributed, cross-functional teams that span nearly every timezone. Many of our tech teams prefer to work asynchronously.\n\nWhat you'll do\n\nWe're looking for a Senior Machine Learning Engineer to help us apply the recent advances in machine learning to ad blocking problems. In this position you would be expected to build and maintain our internal tools, like admincer, manage inference infrastructure, and integrate trained models into our products. You will be interfacing with machine learning models, deep understanding of machine learning techniques is desirable. You will be part of a team focused on automating ad blocking. This will involve proactively identifying, framing and solving problems.\n\nAfter your morning coffee, you'll be expected to...\n\n\n* Build and maintain internal tools for curation of our datasets\n\n* Deploy and support ML models on the server-side  \n\n* Develop and maintain tools and processes for annotation of ad detection datasets\n\n* Implement data collection and inference routines in both Python and Javascript\n\n\n\n\nWhat you bring to the table...\n\n\n* Applied machine learning background\n\n* Ability to proactively and autonomously solve problems\n\n* Experience implementing machine learning in Python\n\n* Working knowledge in JavaScript and Web development\n\n* Experience with either TensorFlow or PyTorch for both training and inference tasks\n\n* Experience deploying machine learning projects to real users\n\n* Experience working remotely\n\n* Experience working in Agile teams\n\n\n\n\nIt's awesome, but not required, if you know about...\n\n\n* The advertising technology industry\n\n* Ad-blocking technology\n\n* Browser extensions\n\n* Browser instrumentation (Puppeteer, Selenium etc)\n\n\n\n\nWhat we offer\n\n\n* Work from home, one of our offices, or a co-working space—we trust you to find what works best for you\n\n* Stipend for one of the following: home office, co-working space, or relocation\n\n* Flexible working hours\n\n* 26 days paid vacation days\n\n* Your choice of hardware and setup\n\n* Personal and professional development budget\n\n* Monthly childcare stipend for children under 6\n\n* Offsite team days and annual summer company retreat in Cologne\n\n* Company-sponsored hackathons\n\n\n\n\nPrivacy Notice\n\nWhen you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.


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PostEra


Senior Machine Learning Researcher

verified
Santa Clara, CA, USA / Remote

Senior Machine Learning Researcher


PostEra

Santa Clara, CA, USA / Remote

machine learning

 

senior

 

y combinator

 

machine learning

 

senior

 

y combinator

 
This job post is closed and the position is probably filled. Please do not apply.
\n\n\nSkills: Torch/PyTorch, Python, Machine Learning, Deep Learning, Reinforcement learning (RL), Natural Language Processing, Amazon Web Services (AWS)\n\n\n\n\nPostEra is building a one-stop-shop for medicinal chemistry to serve the world's drug hunters.\n\n\n\n\n\nThis role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties and predict the outcomes of organic synthesis -- a problem akin to that of games like Go and Chess but with huge therapeutic implications for patients around the world!\n\n\n\n\n\nThe candidate will work directly with Dr Alpha Lee, a world leader in machine learning for drug discovery, and support ongoing projects with pharma and biotech clients in their drug discovery efforts, as well as developing new machine learning techniques. We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra as evidenced by our recent project leading the COVID Moonshot initiative: https://postera.ai/covid\n\n\n#Location\nSanta Clara, CA, USA / Remote


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PostEra

 

Machine Learning Researcher

verified
Bay Area, CA / Remote

Machine Learning Researcher  


PostEra

Bay Area, CA / Remote

machine learning

 

y combinator

 

machine learning

 

y combinator

 
This job post is closed and the position is probably filled. Please do not apply.
\n\n\nSkills: Python, Machine Learning, Deep Learning, Reinforcement learning (RL), Natural Language Processing\n\n\n\n\nPostEra's work and research sits at the intersection of chemistry and machine learning. The candidate we are looking for should have experience in machine learning and ideally chemistry (though not a hard requirement as we focus on potential rather than qualifications). The role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties and predict the outcomes of organic synthesis -- a problem akin to that of games like Go and Chess but with huge therapeutic implications for patients around the world!\n\n\n\n\n\nThe candidate will work directly with Dr Alpha Lee, a world leader in machine learning for drug discovery, and support ongoing projects with pharma and biotech clients in their drug discovery efforts, as well as developing new machine learning techniques. We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra as evidenced by our recent project supporting the COVID Moonshot Consortium: postera.ai/covid.\n\n\n#Location\nBay Area, CA / Remote


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Numbrs


Machine Learning Engineer

Machine Learning Engineer


Numbrs


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nNumbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want.\n\nNumbrs was founded with the vision to revolutionise banking. Therefore from day one Numbrs has always been a technology company, which is driven by a strong entrepreneurial spirit and the urge to innovate. We live and embrace technology.\n\nAt Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.\n\nNumbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.\n\nJoin our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.\n\nJob Description\n\nYou will be a part of the Data Science team responsible for designing, developing and supporting big data driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.\nThe team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.\n\nKey Qualifications\n\n\n* a Bachelor’s or higher degree in technical field of study or equivalent practical experience\n\n* a minimum 5 years of professional experience in Machine Learning\n\n* experience in pattern recognition, predictive modelling, and statistical analysis\n\n* strong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLP\n\n* experience in designing Machine Learning systems at scale\n\n* experience with Big Data technologies such as Kafka, Spark, and Cassandra\n\n* fluent with a JVM programming language, ideally Scala.\n\n* comfort working in a dynamic, research-oriented team with several ongoing concurrent projects\n\n* excellent troubleshooting and creative problem-solving abilities\n\n* excellent written and oral communication in English and interpersonal skills\n\n\n\n\nLocation: Remote


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Scalable Path

 

Machine Learning Engineer

Machine Learning Engineer  


Scalable Path


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nScalable Path is looking for a Machine Learning Engineer to join the team. This is a remote, part-time position (approximately 4 hours/day).\n\nCLIENT COMPANY DESCRIPTION:\nOur mission is to connect companies with highly-skilled, remote software development professionals in their time zone at a competitive price. For freelancers, we provide the opportunity to work on challenging, stable projects while earning a good living. For our clients, we provide pre-vetted candidates, guidance, and tools to set them up for success. We genuinely care about the success of our clients and our freelancers and strive to create engagements that work well for both.\n\nDUTIES AND RESPONSIBILITIES:\nWe are interested in using ML to improve the efficiency of our internal recruiting process. One of the bottlenecks in our process is the analysis of job applications. Currently, these applications are individually read and analyzed by a human, which is time-consuming. We would like to build and train a model (or set of models) that can quickly read through all of the applications and suggest the top candidates based on the applicant's profile and answers.\n\nYour responsibilities would include:\n- Getting to know Scalable Path's current recruiting process\n- Understanding our current database schema and application logic\n- Making suggestions on different types of ML models and strategies\n- Working with the existing development team to deploy the solution\n- Working with the existing team to create a highly predictive model\n- Suggest new attributes to consider in order to rank profiles\n- Optimize performance, storage, and processing power\n\nRELATIONSHIPS - WHO YOU'LL BE WORKING WITH:\nYou will be working with the CEO and members of the Scalable Path recruiting and development teams. The client is in the America/Los Angeles (-07:00) PDT time zone.\n\nREQUIRED SKILLS:\n- Strong English Communication\n- Proven related experience with Machine Learning\n- Extensive experience with models, learning procedures and hyperparameters\n- Ability to understand and solve complex problems\n- Deep understanding of Artificial Neural Networks \n- NLP\n- Data modeling and evaluation skills\n- Requirements analysis skills\n- Advanced experience with REST APIs\n- Git\n\nDESIRED (NICE-TO-HAVE) SKILLS:\n- Previous experience working on HR projects with ML or similar\n\nSTART DATE:\nAs soon as possible.\n\nEXPECTED CONTRACT DURATION:\n2-3 months and potentially more depending on the success of the project.\n\nHOURLY RATE:\n\nThe pay rate for this role is from $50 - $100 USD per hour, depending on experience and capability.


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Thinkful


Data Analytics Immersion Instructor Thinkful A Chegg Online Learning Service

Data Analytics Immersion Instructor Thinkful A Chegg Online Learning Service


Thinkful


teaching

 

stats

 

teaching

 

stats

 
This job post is closed and the position is probably filled. Please do not apply.
Full Time | Remote \n\nApply here\n\nDescription\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed software developers. As an Immersive Course Instructor, you will deliver high quality live workshop content based on existing curriculum, preparing students to successfully transition careers. \n\nIn addition to working directly with students, Instructors are expected to maintain an environment of regular, candid feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment. \n\nResponsibilities:\n\n\n* Delivers high quality workshops based on the curriculum materials, and provides live coding demos when appropriate, to supplement written materials and content to provide students with the skills and knowledge to get their first developer job \n\n* Maintains and updates the daily and weekly student syllabus which outlines the required homework and assignments, and deadlines for assessments and projects \n\n* Provides up to 2 hours daily of on-demand video and chat support for students as they move through the program assignments \n\n* Spends up to 4 hours a day prepping for workshops and updating course materials\n\n* Works with the other Format Leads for engagement formats (Mentor Sessions, Group Sessions, Grading, Technical Coaching, Mock Interviews/Assessments) to ensure that consistent experience is happening for students in immersive courses \n\n* Provide constructive feedback to the Instructional Design team on improvements to the course materials and curriculum based on student experience with the materials \n\n\n\n\nRequirements:\n\n\n* Strong expertise with Excel, Tableau, PowerPoint, SQL, and Python, and comfort explaining these topics.\n\n* Ability to explain complicated topics clearly and without jargon\n\n* Strong written and verbal communication skills\n\n* High level of detail orientation and an exceptional work ethic\n\n* Enjoy working with people, not just putting your head down and working\n\n* Must have a reliable, high-speed Internet connection\n\n* Minimum 3-4 years of professional data analytics experience\n\n* Teaching Experience, especially in a remote or online class, is a plus\n\n* Must be eligible to work in the United States \n\n\n\n\nCompensation and Benefit\n\n\n* Ability to work remotely with partially flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n\n\n\nAt this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming


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FineTune Learning

 

Devops Engineer

Devops Engineer  


FineTune Learning


devops

 

engineer

 

devops

 

devops

 

engineer

 

devops

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a DevOps engineer to develop on our educational platform. In close partnership with CollegeBoard, we serve millions of high school students and their teachers every day. Our 100% remote team is highly diverse, talented, and experienced, with a shared passion for the quality of the product we create and a commitment to being the kind of good-natured team everyone loves to be on. \n\n Our platform is a Python/Flask backend with a React frontend on AWS. We utilize Docker, Terraform, Ansible, and AWS among other tools/services.  We value excellent communication and interpersonal skills, both for the benefit of our own interactions within the team and because of every engineer has a direct relationship with our partners at CollegeBoard.\n \n Here are some qualities we value\n\n\n* An appreciation of and ability to work cross-culturally as we are a fully distributed, diverse, and inclusive community.\n\n* Responsibility and self-motivation so that we can trust you to work hard without a lot of oversight, but also to reach out for help when needed.\n\n* Highly collaborative and eager to help out other engineers, QA, and anyone else who needs help. We’re nice to each other and want to keep it that way. Bonus points for a good sense of humor.\n\n* Having sound engineering fundamentals.\n\n* Desire to continuously, learn, improve, and grow.\n\n* Experience in relational schema and data migrations with the ability to optimize indexes and data for database performance\n\n\n


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Automattic


Machine Learning Engineer

Machine Learning Engineer


Automattic


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nMachine Learning Engineer\n\nWe are the company behind WordPress.com, Jetpack, WooCommerce and Tumblr. We are looking for someone to join a team of data scientists and software engineers to build, deploy, and iterate on applications involving time series analysis, machine learning, natural language processing and/or search. \n\nWhat have we worked on recently?\n\nWe help our users to create powerful sites with ease and enable our colleagues to support our users. Our completed and ongoing projects include\n\n\n* Elfbot – a machine learning project to automatically tag chat transcripts from our live chat user support. \n\n* Automated anomaly detection on business and user data.\n\n* A new Jetpack Search experience with instant search and improved relevance.\n\n* A generalized machine learning pipeline to build audiences for marketing and engagement.\n\n\n\n\nHow do we work?\n\n\n* We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.\n\n* We work as a global and distributed workforce resulting in a unique way of working built around our creed. \n\n* We offer flexible work arrangements allowing our team members to work when they feel best.\n\n* We welcome collaboration, and you can be involved in any discussion across our many communication channels.\n\n\n\n\nEnough about us, let‘s talk more about you. The Machine Learning Engineer position might be a good fit if you:\n\n\n* Have hands-on experience in building and deploying data-intensive applications to production. You care about building reliable and testable infrastructure and pipelines. Familiarity with the Hadoop ecosystem and cloud computing services like AWS and GCP will be advantageous.\n\n* Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, or develop technical roadmaps for future applications. \n\n* Have a demonstrated interest in understanding machine learning techniques and workflows like data preprocessing, feature extraction, and training and evaluation of classification and regression models.\n\n* Bring programming skills in multiple programming languages and paradigms. You are likely to encounter Python, PHP, Scala, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.\n\n* Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.\n\n* Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year.\n\n\n\n\nLike all positions at Automattic, you’ll work remotely, and can be based wherever you live.\n\nABOUT AUTOMATTIC\n\nWe are the people behind WordPress.com, WooCommerce, Jetpack, Simplenote, Longreads, VaultPress, Akismet, Gravatar, Crowdsignal, Cloudup, and more. We believe in making the web a better place.\n\nWe’re a distributed company with more than 1100 Automatticians in 65+ countries speaking 75+ different languages. Our common goal is to democratize publishing so that anyone with a story can tell it, regardless of income, gender, politics, language, or where they live in the world.\n\nWe believe in Open Source and the vast majority of our work is available under the GPL.\n\nDIVERSITY & INCLUSION AT AUTOMATTIC\n\nWe’re improving diversity in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our D&I committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly D&I People Lab series for further learning. Diversity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Read more about our dedication to diversity and inclusion.\n\nHOW TO APPLY\n\nDoes this sound interesting? If yes, click the Apply link below and fill out our application form. In your cover letter, let us know what you can contribute to the team. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive many applications for this position, so try to make your application stand out.\n\nApply for this Job\n\nIf you’re reading this on a site other than automattic.com please ensure you visit automattic.com/work-with-us for the latest details on applying.


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Wikimedia Foundation


Software Engineer Machine Learning

Software Engineer Machine Learning


Wikimedia Foundation


dev

 

machine learning

 

engineer

 

digital nomad

 

dev

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
San Francisco, CA or Remote\n\n\n\nSummary\n\nThe Scoring Platform team builds and maintains machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis.  We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research on the intersection of technology and culture. We are strongly committed to principles of transparency, privacy and collaboration.  We use free and open source technology and we collaborate with researchers in the industry and academia. \n\nAs a Software Engineer of the Scoring Platform team, you will help us build and scale our machine prediction service, train new machine learning models, and implement other data-intensive applications. You’ll travel to conferences to interact with researchers and volunteer contributors to Wikimedia Projects. You’ll help translate abstractions from current research and volunteers’ needs into concrete technologies and we’ll learn about the impacts of those technologies together.\n\nYou are responsible for:\n\n\n* Implementing the Scoring Platform’s data intensive infrastructure and APIs\n\n* Collaborating with researchers and product managers to bring forward foundational technologies for new products\n\n* Coordinating and communicating with other members of the Wikimedia engineering teams on relevant projects\n\n* Engaging with internal documentation efforts and inform other staff in various aspects of Scoring Platform infrastructure and services\n\n* Working in coordination with volunteer developers, editors, and researchers to understand their needs. \n\n* Sharing our values, respect our code of conduct, adhere to our team norms, and work in accordance with all three\n\n\n\n\nSkills and Experience:\n\n\n* Experience with web programming languages (PHP, Javascript, Python, etc.) \n\n* Understanding or willingness to learn basic statistics, machine learning, and/or data analysis techniques.\n\n* Demonstrable experience developing and debugging web applications\n\n* Strong verbal and written proficiency with the English language\n\n* BS, MS, or PhD in Computer Science, Mathematics, Information science, or equivalent work experience\n\n\n\n\nQualities that are important to us:\n\n\n* Engineering mindset and strong experience in Linux ecosystems\n\n* Real world experience writing horizontally scalable web applications\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience participating in open source software projects and communities\n\n* Familiarity with scientific computing libraries in Python\n\n* Experience with web UI development (Javascript, HTML, CSS)\n\n* Experience working with collaborating in online spaces (chatrooms, web forums, etc.)\n\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record


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User Research International

 

Paid Research Study For Developers With Machine Learning AI Experience

Paid Research Study For Developers With Machine Learning AI Experience  


User Research International


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called ML/AI Decision Maker Study. We are looking for currently employed Full-Time Developers who are involved in purchasing data for machine learning purposes in their company. This study is a one-time Remote study via an online meeting. We’re offering $100 for remote and $175 for in-person participation in this study. Session lengths are 60-minutes. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate.  If it's a match, we'll reach out with a formal confirmation and any additional details you may need.\n\nI have summarized the study details below. In order to be considered, you must take the survey below. Thank you!\n\nStudy: ML/AI Decision Maker Study\n\nGratuity: $100 for Remote, $175 for In-Person\n\nSession Length: 60-minutes\n\nLocation: Remote via Online Meeting or In-Person in Redmond, WA\n\nDates: Available dates are located within the survey\n\nSurvey: ML/AI Decision Maker Study (Qualification Survey)


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User Research International

 

Paid Research Study For .NET Developers With Machine Learning Experience

Paid Research Study For .NET Developers With Machine Learning Experience  


User Research International


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a one time research study called the .Net Study. We are looking for currently employed Full-Time Developers who use .Net Framework. This study is a one time online remote study. We’re offering $200 for participation in this study. Session lengths are 1 hour and 30 minutes. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. If you complete the survey, and you are actually a fit to the study's requirements by the researcher, URI will follow up with you. I have summarized the study details below. Thank you!\n\nStudy: .Net Study\n\nGratuity: $200\n\nSession Length: 1 hour and 30 minutes\n\nLocation: Remote Online\n\nDates: February. Available dates are located within the survey\n\nSurvey: .Net Study Qualifying Survey (Invite to follow if selected)


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Knock.com


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Knock.com


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nOur homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, sell them quickly and guide the customer every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.\n\n\nWe’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.\n\n\nAt Knock, we have fun, we move fast, we support and celebrate our fellow teammates, and we live by our POPSICLE values.\n\n\nAs a Sr. Machine Learning Engineer you will: \n\n\n* Design and develop models that produce insights from residential real estate data.\n\n* Develop, train, test, deploy and iterate on modeling approaches and methodologies.\n\n* Evaluate, improve and iterate on the performance of existing ML models.\n\n* Explore and recommend new data to improve model outputs.\n\n* Apply and integrate model predictions to our new and existing products.\n\n* Communicate model outcomes to the broader team.\n\n\n\n\n\nWe’re looking for Knockstars who have: \n\n\n* Must be U.S. based.\n\n* MS or higher in Computer Science, Statistics, Mathematics or equivalent.\n\n* Experience applying existing or novel methodologies to improve existing machine learning models.\n\n* Minimum of 3 years of software development experience including coding, testing, troubleshooting, and deployment.\n\n* Minimum of 2 years experience with building production end-to-end machine learning models at scale.\n\n* Strong knowledge of machine learning frameworks.\n\n* Python programming proficiency.\n\n* SQL, MySQL or Postgres experience.\n\n* Strong desire to contribute to a rapidly growing startup and being comfortable with learning new tools and technologies.\n\n\n\n\n\nBonus points for knowledge of:\n\n\n* Real estate markets, MLS assessor/tax and parcel data.\n\n\n\n\n\nWhat we can offer you:\n\n\n* An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.\n\n* Talented, passionate and mission-driven peers disrupting the status quo.\n\n* Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.\n\n* Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.\n\n* This is a 100% remote, full-time career at Knock.\n\n\n\n\n\nWe have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, Phoenix, and Denver with more on the way. In fact, we are proud to be a distributed company with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\n\nKnock is an Equal Opportunity Employer.\n\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Ephesoft


Machine Learning Engineer Data Scientist

Machine Learning Engineer Data Scientist


Ephesoft


machine learning

 

data science

 

engineer

 

machine learning

 

data science

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nBuilders and Fixers Wanted!\n\nCompany Description:  \n\nEphesoft is the leader in Context Driven Productivity solutions, helping organizations maximize productivity and fuel their journey towards the autonomous enterprise through contextual content acquisition, process enrichment and amplifying the value of enterprise data. The Ephesoft Semantik Platform turns flat data into context-rich information to fuel data scientists, business users and customers with meaningful data to automate and amplify their business processes. Thousands of customers worldwide employ Ephesoft’s platform to accelerate nearly any process and drive high value from their content. Ephesoft is headquartered in Irvine, Calif., with regional offices throughout the US, EMEA and Asia Pacific. To learn more, visit ephesoft.com.\n\nReady to invent the future? Ephesoft is immediately hiring a talented, driven Machine Learning Engineer or Data Scientist to play a key role in developing a high-profile AI platform in use by organizations around the world. The ideal candidate will have experience in developing scalable machine learning products for different contexts such as object detection, information retrieval, image recognition, and/or natural language processing.\n\nIn this role you will:\n\n·         Develop and deliver CV and NLP systems to bring structure and understanding to unstructured                 documents. \n\n·         Innovate by designing novel solutions to emerging and extant problems within the domain of                       invoice processing. \n\n·         Be part of a team of Data Scientists, Semantic Architects, and Software Developers responsible                 for developing AI, ML, and Cognitive Technologies while building a pipeline to continuously deliver             new capabilities and value. \n\n·         Implement creative data-acquisition and labeling solutions that will form the foundations of new                 supervised ML models. \n\n·         Communicate effectively with stakeholders to convey technical vision for the AI capabilities in our               solutions. \n\n You will bring to this role:\n\n·         Love for solving problems and working in a small, agile environment.\n\n·         Hunger for learning new skills and sharing your findings with others.\n\n·         Solid understanding of good research principles and experimental design. \n\n·         Passion for developing and improving CV/AI components--not just grabbing something off the                     shelf. \n\n·         Excitement about developing state-of-the-art, ground-breaking technologies and owning them                   from imagination to production. \n\nQualifications\n\n·         3+ years of experience developing and building AI/ML driven solutions\n\n·         Development experience in at least one object-oriented programming language                                           (Java, Scala, C++) with preference given to Python experience\n\n·         Demonstrated skills with ML, CV and NLP libraries/frameworks such as NLTK, spaCy,                                 Scikit-Learn, OpenCV, Scikit-Image\n\n·         Strong experience with deep learning libraries/frameworks like TensorFlow, PyTorch, or Keras\n\n·         Proven background of designing and training machine learning models to solve real-world                         business problems\n\nAdditional information\n\nEphesoft is proud to be an Equal Opportunity Employer.  Candidates outside of the United States will not be considered. \n\nEEO Statement:\n\nEphesoft embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.


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FineTune Learning

 

QA Engineer

QA Engineer  


FineTune Learning


qa

 

engineer

 

qa

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nQA Engineer\n\nJob description\n\n\n FineTune is seeking a rigorous and detail oriented QA Engineer for our AP and Pre-AP education software product who has strong motivation to grow startup companies with an eye toward improving the software product and its testing according to user specifications. Prefer applicants located in U.S. timezones.\n \n What you’ll be doing:\n\n\n\n* Primarily manual testing of functional and UI requirements\n\n* Working in an Agile Scrum format with two week sprints\n\n* Working with the development team to thoroughly document bug reproduction steps and their resolutions\n\n* Working with Product Owners to identify requirements and acceptance criteria and make sure they are documented accurately before coding begins\n\n* Interacting with all of QA to cross train on various aspects of the platform\n\n* Gathering metrics to help identify high risk areas of the platform and for improvement of the engineering team\n\n* Working with the Project Manager/Scrum Master to address scheduling conflicts and other testing needs as applicable\n\n* Verifying releases, before and after deployment\n\n\n\n\n\n Desired Experience:\n\n\n* 2+ years of manual QA experience for web based platforms\n\n* 2+ years experience with SQL to manipulate, load and delete test data\n\n* Experience with Jira or other task management tools to document bugs and their replication steps\n\n* Experience with test plan repositories such as hiptest\n\n* Ability to shift priorities and work under load and tight deadlines when needed\n\n* Strong verbal and written communication skills - must be able to clearly and concisely document issues, answer clarifying questions, and facilitate communication between developers and stake holders\n\n* Strong investigative and problem-solving skills\n\n* Comfortable with Github\n\n\n\n\nNice to have:\n\n\n* Strong Agile Process Experience\n\n* Experienced with MacOS\n\n* Some experience with API and load testing\n\n* Some experience with writing automated test scripts\n\n* Some experience with HTTP status codes and browser dev tools\n\n* Some experience with any programming language\n\n* BS in Computer Science or equivalent\n\n\n


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Source Coders


Senior Machine Learning

Senior Machine Learning


Source Coders


machine learning

 

senior

 

machine learning

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
About you:\n\n\n* Care deeply about democratizing access to data.  \n\n* Passionate about big data and are excited by seemingly-impossible challenges.\n\n* At least 80% of people who have worked with you put you in the top 10% of the people they have worked with.\n\n* You think life is too short to work with B-players.\n\n* You are entrepreneurial and want to work in a super fact-paced environment where the solutions aren’t already predefined.\n\n\n\nAbout SafeGraph: \n\n\n\n* SafeGraph is a B2B data company that sells to data scientists and machine learning engineers. \n\n* SafeGraph's goal is to be the place for all information about physical Places\n\n* SafeGraph currently has 20+ people and has raised a $20 million Series A.  CEO previously was founder and CEO of LiveRamp (NYSE:RAMP).\n\n* Company is growing fast, over $10M ARR, and is currently profitable. \n\n* Company is based in San Francisco but about 50% of the team is remote (all in the U.S.). We get the entire company together in the same place every month.\n\n\n\n\nAbout the role:\n\n\n* Core software engineer.\n\n* Reporting to SafeGraph's CTO.\n\n* Work as an individual contributor.  \n\n* Opportunities for future leadership.\n\n\n\n\nRequirements:\n\n\n* You have at least 6 years of relevant work experience.\n\n* Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods. \n\n* Proficiency writing production-quality code, preferably in Scala, Java, or Python.\n\n* Experience working with huge data sets. \n\n* You are authorized to work in the U.S.\n\n* Excellent communication skills.\n\n* You are amazingly entrepreneurial.\n\n* You want to help build a massive company. \n\n\n\nNice to haves:\n\n\n* Experience using Apache Spark to solve production-scale problems.\n\n* Experience with AWS.\n\n* Experience with building ML models from the ground up.\n\n* Experience working with huge data sets.\n\n* Python, Database and Systems Design, Scala, TensorFlow, Apache Spark, Hadoop MapReduce.\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Research Square

 

Machine Learning Software Engineer

Machine Learning Software Engineer  


Research Square


dev

 

machine learning

 

engineer

 

digital nomad

 

dev

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nResearch Square is the leader in ethical author-oriented solutions in the world of academic publishing. We are home to American Journal Experts (AJE), which provides solutions that help researchers communicate their work so they can get back to making discoveries.\n\nWe currently have a challenging opportunity for a bright, hardworking, and self-motivated Machine Learning Engineer. We are looking for an early-career individual who exhibits personal humility and who strives to enable the success of their team in our fun and collaborative remote environment. A successful candidate will be excited to learn and stay abreast of new advancements in the field. \n\nAs a Machine Learning Engineer at Research Square, your efforts will support our engineering and operations teams across a variety of projects involving the creation of new tools and the support and improvement of existing tools. You will be responsible for all parts of model creation from data wrangling to model testing and validation.\n\n\nRequirements for this role include\n\n\n* Uses appropriate ML techniques and big data to create automation solutions for business-critical problems\n\n* Assesses and advocates for automation solutions based on their cost to implement and probability of success\n\n* Considers scalability, user experience, and biases in data when designing solutions\n\n* Experience with natural language processing or a strong desire to learn\n\n* Collaborates with business stakeholders to understand business objectives and develop models to help achieve them, along with metrics to track their effectiveness. \n\n* Works both strategically and tactically to achieve business outcomes\n\n* High level of comfort with Python, SQL, Git, and using the command line.\n\n* Works with complex structured and unstructured data, to include leading the data acquisition process, data cleaning, exploratory analysis, verification, and designing data pipelines. Validates models to ensure adequate real-world performance.\n\n* Bachelor’s degree or equivalent experience\n\n\n\n\nOur ideal candidate also has experience with the following: \n\n\n* One to two years experience in practical machine learning\n\n* Optimizing existing or new ML solutions for performance and scale\n\n* Demonstrated experience with deep learning\n\n* Natural Language Processing and/or Computational linguistics\n\n* Amazon Web Services and/or Google Cloud\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Wikimedia Foundation


Engineering Manager Machine Learning

Engineering Manager Machine Learning


Wikimedia Foundation


exec

 

machine learning

 

engineer

 

exec

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nSummary\n\nThe Wikimedia Foundation is growing its Machine learning efforts. This an opportunity to be part of the team that builds and maintain machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis. We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research of the intersection of technology and culture. We are strongly committed to principles of transparency, privacy, and collaboration. We use free and open source technology and we collaborate with external researchers and our volunteer community.\n\nWe are looking for an experienced Engineering Manager to help build features that enable our communities to achieve our Vision: a world in which every single human being can freely share in the sum of all knowledge. As an Engineering Manager, you will support engineers building features, products, and services used by hundreds of millions of people around the world. This is an opportunity to do good while improving one of the best known sites in the world.\n\nWe’d like you to do these things:   \n\n\n* Partner closely with other teams and departments across the Wikimedia Foundation to define and experiment with machine learning products. These could be brand new feature offerings in Wikipedia or augmentation of existing workflows.\n\n* Review and advice in code changes made by team.\n\n* Represent team members within the organization and Wikimedia community.\n\n* Support and coach your team members in the development of their career paths.\n\n* Recruit and hire new team members.\n\n\n\n\nWe’d like you to have these skills: \n\n\n* Multiple years of experience in leading software engineering teams and managing complex projects.\n\n* Practical experience with machine learning, natural language processing or information retrieval in products that have been launched to production.\n\n* Excellent analytical and problem solving skills. Familiarity with statistics.\n\n* Significant experience working with data infrastructure and distributed systems at scale.\n\n* Experience with both scripting and compiled languages in a Linux/Unix server environment, some of: Python, PHP, Java, Javascript, C, Scala\n\n* Excellent verbal and written communication skills\n\n* BS in Computer Science or other relevant technical field or the equivalent in related work experience.\n\n\n\n\nAnd it would be even more awesome if you have this:\n\n\n* Previous experience working on a large, mature, open source project\n\n* Experience working with a geographically distributed software engineering team\n\n* Experience with open source software development\n\n* Contributing to the Wikipedia or Wikimedia project communities\n\n\n\n\nShow us your stuff! If you have any existing open source software that you or teams you have lead have  developed (these could be your own software or patches to other packages), please share the URLs for the source. Links to GitHub,GitLab, BitBucket, Presi, YouTube, Medium, etc. are especially useful.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible international workers' benefits are specific to their location and dependent on their employer of record\n\nMore information\n\nWMF\nBlog\nWikimedia 2030\nWikimedia Medium Term Plan\nDiversity and inclusion information for Wikimedia workers, by the numbers\nWikimania 2019\nAnnual Report - 2017


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Qntfy


Machine Learning Engineer

Machine Learning Engineer


Qntfy


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nQntfy is looking for a talented and highly motivated ML Engineer to join our team. ML Engineers are responsible for building systems at the crossroads of data science and distributed computing. You will do a little bit of everything: from tuning machine learning models, to profiling distributed applications, to writing highly scalable software. We use technologies like Kubernetes, Docker, Kafka, gRPC, and Spark. You aren’t a DevOps, but an understanding of how the nuts and bolts of these systems fit together is helpful and you aren't a data scientist, but understanding how models work and are applied is just as important. U.S. Citizenship Required Responsibilities\n\n\n* Collaborate with data scientists to get their models deployed into production systems.\n\n* Develop and maintain systems for distributed model training and evaluation.\n\n* Design and implement APIs for model training, inference, and introspection.\n\n* Build tools for testing, benchmarking, and deploying analytics at scale.\n\n* Interface with the technical operations team to understand analytic performance and operational behavior.\n\n* Write and test code for highly available and high volume workloads.\n\n\n\n\nQualifications\n\n\n* BS or Master’s degree in Computer Science, related degree, or equivalent experience.\n\n* 5+ years experience with software engineering, infrastructure design, and/or machine learning.\n\n* Familiarity with Python and machine learning frameworks, paricularly Scikit-learn, Tensorflow, and Pytorch.\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow, etc.\n\n* Write well-structured, maintainable, idiomatic code with good documentation.\n\n* Strong work-ethic and passion for problem solving.\n\n\n\n\nPreferred Qualifications\n\n\n* Machine learning API development competencies.\n\n* Golang development experience.\n\n* Container orchestration and optimization knowledge.\n\n* Proficiency designing, implementing, and operating large-scale distributed systems.\n\n* Prior experience working in a distributed (fully remote) organization.\n\n\n\n\nQntfy is committed to fostering and supporting a creative and diverse environment. Qntfy is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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User Research International

 

Paid Research Study For Developers With Machine Learning Python Experience

Paid Research Study For Developers With Machine Learning Python Experience  


User Research International


python

 

machine learning

 

python

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nUser Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called The Data Science\Machine Learning Study. We are looking for current full-time  Developers or Data Scientists who are familiar with Machine Learning, Python, and Jupyter Notebooks.This study is a one time study held remotely. We’re offering $200 for participation in this study. Session lengths are 1 hour. These studies provide a platform for our researchers to receive feedback. This will be a one hour open ended interview with the researcher. We want to understand how you personally create and work with machine learning models. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. If you complete the survey, and you are actually a fit to the study's requirements, URI will follow up with you. I have summarized the study details below. Thank you!\n\nStudy: The Data Science\Machine Learning Study\n\nGratuity: $200\n\nSession Length: 1 hour \n\nLocation: Remote via an online meeting\n\nDates: August. Available times are located within the survey\n\nSurvey: The Data Science\Machine Learning Study


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Elastic


Machine Learning

Machine Learning


Elastic


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nJavaScript Engineer\n\nAt Elastic, we have a simple goal: to pursue the world's data problems with products that delight and inspire. We help people around the world do exceptional things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Often, what you can do with our products is only limited by what you can dream up. We believe that diversity drives our vibe. We unite Elasticians across 30+ countries into one unified team, while the broader community spans across over 100 countries\n\nMachine Learning at Elastic\n\nMachine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. We have developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior or finding malicious devices.\n\nWe have an exciting roadmap and are looking to hire an extraordinary Software Engineer to join us. You will have an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.\n\nWhat you will be doing\n\nAs a member of the team, you will contribute to the further development and ongoing maintenance of our ML focussed projects.\n\nThe ML user interface has to be both beautifully designed to help users to get insight out of their data and also operationally usable allowing them to easily set-up, configure and operationally manage their ML analysis jobs.\n\nYou do not need to be a machine learning expert, however you do need to be comfortable working in a data driven development environment using large complex datasets.\n\nIn addition, you will be working closely with data, integration, analytics and QA engineers, as well as collaborating with the core Kibana team and the amazing Elastic Stack community.\n\nWhat you will bring\n\n\n* Strong front-end JavaScript, HTML, CSS experience (+2yrs)\n\n* Experienced with JavaScript-based front-end web application frameworks\n\n* Deep understanding of UX/UI design principles\n\n* Ready to be part of a dedicated distributed team, having strong collaboration and communication skills\n\n* Strong analytical, problem solving, debugging and troubleshooting skills\n\n* Experience writing automated tests\n\n\n\n\nExperience in these areas is a plus\n\n\n* Knowledge, interest and a real passion for topics in data visualisations, statistics, machine learning, data analytics\n\n* Educational background in a mathematical discipline such as Mathematics, Physics, Engineering, Computer Science\n\n* Knowledge of IT Operations, IT Infrastructure, Application Performance Monitoring and/or IT Security domains\n\n\n\n\nAdditional Information\n\nWe're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.\n\n#LI-AD1\n\nElastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.


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FineTune Learning


Chief Product Officer

verified
🇺🇸 US-only

Chief Product Officer


FineTune Learning

🇺🇸 US-only

product manager

 

non tech

 

exec

 

product manager

 

non tech

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
\nChief Product Officer\n\n\nGreetings from FineTune!!  We are an early-stage technology company innovating in the assessment and learning space.   Our platform features a workflow that enables the ability to assess qualitative (more complex) skills/competencies at scale, using human evaluators.  We are now working on integrating with various AI programs to pursue a hybrid (human + AI) approach to evaluation and feedback. Through our partnership with the College Board, we have customized our platform for Advanced Placement (AP) that has been validated at scale across the curriculum, in all 36 AP courses, with over 3 million users.  We are beginning to explore other use-cases in other verticals (higher ed and workforce) as well as other applications within the K-12 world.\n\n\nWe are looking for a hands-on, execution-oriented Chief Product Officer to help the company continue to scale as we explore various opportunities to leverage our core value proposition.    We are looking for a CPO who:\n\n\n* Is responsible for instituting rigor around product/market fit, product definition, market sizing, customer development and pricing of our software as a service (SaaS) products.\n\n* Has the strength and experience in product marketing to define top priority features for MVP to go to market with as well as rationale for those features.\n\n* Is responsible for keeping consistent messaging and latest product communication with end users and potential customers to solve pains and needs that lead to greater revenue.\n\n* Defines and measures product success metrics around product features, user engagement, customer acquisition costs, retention costs and user growth/churn.\n\n* Analyzes better ways to increase acquisition, retention and monetization. Incorporating those features into the product in collaboration with dev team.\n\n* Organizes and prioritizes product user stories that aligns with business value.\n\n* Reports directly to the CEO.\n\n\n\n\nRequirements\n\n\n* A pioneering, market savvy manager who has marketed, iterated, launched and grown products from concept to scale while being able to show quarterly progress on product goals.\n\n* Have been part of a team where a product has scaled generating considerable recurring revenue and you were part of tracking metrics through the growth.\n\n* Education, Publishing, Workforce Training, Higher Ed or EdTech experience helpful but not a must.\n\n* Experience in managing marketing or sales funnels for B2B software products or B2C consumer products to inform best customers to target for different product release phases.\n\n* Experience in sketching UX for MVP’s to communicate with designer or design team for effective decision making and execution\n\n* Experience with agile development process.\n\n* Early stage company experience a plus.\n\n\n\n\n\nFineTune is excited to make this opportunity available for the right candidate at a very pivotal time in our growth.  Although we maintain a base in Boston, we are mostly a distributed team and willing to consider candidates from anywhere within the US.   Competitive salary and benefits. We have a deeply committed culture that has thrived as we have grown to 50+ people from various states and countries and we value diversity of background and opinion.\n\nFor more information or to submit a resume and cover letter, contact Steve Shapiro, CEO at [email protected]\n\n\n\n\n\n\n\n#Location\n🇺🇸 US-only


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FineTune Learning


Full Stack Senior Software Engineer

Full Stack Senior Software Engineer


FineTune Learning


full stack

 

dev

 

senior

 

engineer

 

full stack

 

dev

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a full stack developer with strong hands on experience on reactjs, axios, react-apollo, graphql, python, flask/django, pytest, docker, database performance and microservices. S/he must have experience working with at least 3 production released software projects/products that they have deployed on AWS or Google Cloud and working for at least 10 years releasing production quality software. S/he should be hands on tech and comfortable solving complex system problems while making sure software team understands clearly what they are building, while refactoring/architecting new and existing services to scale to support 5 million users. \n\nYou should have hands on experience in optimizing front end code performance, analyzing API caching errors, comfortable digging into docker containers and be diving into large code bases to refactor components and migrate database models.\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. Full stack developer will also work with QA team to find best ways to increase the performance of the development team and enhance software quality and development speed.\n\nS/he will interface with engineering leadership to continuously drive innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard and other partners. S/he will be essential member of the engineering team to drive company vision and mission while scaling the software for larger audience.\n\nExperiences necessary to be successful:\n\n\n* Proven experience in understanding complex user needs with multiple stakeholders and providing practical solutions that can work in production\n\n* Always automating solutions, but making it clearly understandable to other developers and users\n\n* Highly collaborative and be able to communicate both interpersonally and in your code (we <3 COMMENTS! and ability to think about future developers)\n\n* Not afraid to dive into other’s code, refactor and rewrite if it’s best for maintenance and end user\n\n* Eye for great software engineering practices (i.e. experience in dealing with bad code and improving or refactoring with good design)\n\n* Experience in debugging performance issues with javascript and reactjs or other SPA architecture\n\n* Experience in developing testable components\n\n* Experience in relational schema and data migrations with ability to optimize indexes and data for database performance\n\n* Experience with rigor in branching, rebasing, cherry picking and collaborating in github\n\n* Experience in agile sprints a plus\n\n* Desire to continuously, learn, improve and apply new technologies that will increase operational efficiency and effectiveness\n\n\n


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phData


Machine Learning Engineer

Machine Learning Engineer


phData


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nAre you inspired by innovation, hard work and a passion for data?    \n\nIf so, this may be the ideal opportunity to leverage your Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  \n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters conveniently located in Downtown Minneapolis (Fueled Collective).\n\nAs the world’s largest pure-play Big Data, Machine Learning and Data Science services firm, our team includes Apache committers, Machine Learning experts and the most knowledgeable Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Big Data and Machine Learning services and our commitment to excellence.\n\nIn addition to a phenomenal growth and learning opportunity, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid Cloudera certifications - in addition to generous PTO and employee equity.\n\nAs a Machine Learning Engineer, your responsibilities include: \n\n\n\n\n* Convert proof of concepts to production-grade solutions that can scale for hundreds of thousands of users\n\n\n\n* Create and manage machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data.\n\n\n\n* Tackle challenging problems, such as developing web services and ETL pipeline components, to productize and evaluate machine learning models\n\n\n\n* Write production code and collaborate with Solutions Architects and Data Scientists to implement algorithms in production\n\n\n\n* Design, conduct, and analyze experiments to validate proposed ML modeling approaches as well as improvements to existing ML pipelines\n\n\n\n\n\n\nQualifications\n\n\n* Previous experience as a Software Engineer, Data Engineer or Data Scientist (with hands-on engineering experience)\n\n* Solid programming experience in Python, Java, Scala, or other statically typed programming language\n\n* Hands-on experience in one or more big data ecosystem products/languages such as Spark, Impala, Solr, Kudu, etc\n\n* Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.\n\n* Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries\n\n* Excellent communication skills; previous experience working with internal or external customers\n\n* Strong analytical abilities; ability to translate business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics\n\n* 4 year Bachelor's Degree in Computer Science or a related field, or equivalent years of professional working experience.\n\n\n\n\nKeywords: Hive, Apache Spark, Java, Apache Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu, Pandas, TensorFlow, h2o, R, Keras, PyTorch, scikit-learn, Machine Learning, Machine Learning Engineering, Data Science, PySpark, NLP


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DjangoForce

 

Machine Learning Engineer For Heart Beat Analysis Project

Machine Learning Engineer For Heart Beat Analysis Project  


DjangoForce


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nThe ML engineer will produce a model based on a custom data set that will analyze and report cardiac anomalies from a unique users heart beat.  We'd eventually like to allow the possibility to diagnose and predict cardiac disease and arrest.\n\nWe  plan to do a proof of concept project first, to ensure we will have a solid understanding of what the effort will be to produce the final product.


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Agile Resources

 

Machine Learning Engineer

Machine Learning Engineer  


Agile Resources


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nOur client is a software shop in Atlanta which is building an innovative web, mobile and IOT platform for the entertainment industry. They are currently looking for software engineers with experience in Python-based Machine Learning and Artificial Intelligence using frameworks such as TensorFlow, PyTorch or Keras.\n\nThe focus of the Machine Learning (ML) Engineer will be to help create artificial intelligence products. ML Engineer responsibilities include creating machine learning models and retraining systems. Your goal will be to shape and build efficient self-learning applications.\n\nRequirements:\n\n\n* Proven experience as a ML Engineer or similar role\n\n* Understanding of data structures, data modeling and software architecture\n\n* Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)\n\n* Experience in applying machine learning, predictive analytics and classification techniques towards real product and problems\n\n* Ability to write robust code in Python or Java or equivalent modern programming language\n\n* Proficiency in SQL, big data technologies and working with large data sets\n\n\n\n\nPluses:\n\n\n* BS in Computer Science, Mathematics or similar field; Master’s degree is a plus\n\n* Experience designing and building web scale distributed systems\n\n* Deep knowledge of math, probability, statistics and algorithms\n\n\n


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PaperClip orporated


Senior Machine Learning Developer

Senior Machine Learning Developer


PaperClip orporated


dev

 

machine learning

 

senior

 

digital nomad

 

dev

 

machine learning

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for an experienced Machine Learning Engineer to help us build-out artificial intelligence capabilities into our existing line of cloud product services.  You will be responsible for developing software components for our products to utilize machine learning for the recognition of document image data, forms and handwriting.  Your ultimate goal will be to shape and build efficient self-learning application subsystems to eliminate the need for human processing.  \n\nResponsibilities Include:\n\n\n* Software architecture, design and implementation\n\n* Train & Validate TensorFlow Models for Hand Written Text Recognition\n\n* Deploy TensorFlow Models in Azure cloud that support multi-threading\n\n* Build a service (API) to access deployed model in Azure and validate image text\n\n* Create an automated schedule to daily train model with new data to improve accuracy\n\n* Build multiple versions of TensorFlow Model based on accuracy improvement and deploy improved model version to Azure cloud\n\n\n\n\nQualifications:\n\n\n* Bachelor degree in Computer Science / Engineering and 10+ years of software development experience\n\n* Proven experience with Machine learning technologies such as TensorFlow\n\n* Experience with Python, Python Packages, OpenCV and Keras\n\n* Experience with Microsoft Azure\n\n* U.S. citizenship required\n\n* Must pass a security background check.\n\n\n\n\nRequired skills:\n\n\n* Commercial application development experience\n\n* Ability to write robust code in Python, Java and C#\n\n* RESTful Web Service development\n\n* Must be able to work independently and remotely\n\n* Must be detail oriented with good oral and written communication skills\n\n\n\n\nThis position has possible option in future to hire into a full time permanent position.


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Thrive Global


Technical Lead Data Engineering Machine Learning

Technical Lead Data Engineering Machine Learning


Thrive Global


exec

 

machine learning

 

engineer

 

exec

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey.  As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity:  raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies:  Docker, Kubernetes, or OpenStack\n\n* Public Cloud:  Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n


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Findify


Senior Scala Machine Learning Engineer

Senior Scala Machine Learning Engineer


Findify


scala

 

machine learning

 

senior

 

engineer

 

scala

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nAs part of our engineering team you will be responsible for building our product, an advanced machine learning algorithm within search personalization for e-commerce. As demand for our product continues to increase, we are on a journey to grow the team substantially in 2019. We’d love for you to join us.\n\n\nAbout the role:\n\nAs a Scala Machine Learning engineer you will help us build and maintain our ML platform, which is one of the most advanced that exists today. At Findify, we make extensive use of data-collection, processing and ML algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our ML algorithms to help us achieve this goal.\n\n\nYour responsibilities include:\n\n\n* Implementing new ML algorithms and improving existing ones to fine-tune the search relevancy and recommendation quality we provide our 1500 merchants\n\n* Keeping up-to-date with academic research in the field of AI/ML to make sure our algorithms reflect the latest developments\n\n* Setting up the data processing pipelines to feed these ML algorithms\n\n\n\n\n\nAbout you:\n\nYou are a creative problem-solver with passion for Machine Learning and building scalable architectures.\n\n\nYou are:\n\n\n* Initiative-taking; you are self-motivated, a doer, and can drive projects from start to finish\n\n* A team-player; you are comfortable working with different styles and believe (like us) that together we achieve much more than alone\n\n* Driven; you are used to working hard to achieve a goal you care about and running several projects in parallel\n\n* A great communicator; you are comfortable in communicating in English both written and oral, including leading meetings, selling your ideas and storytelling\n\n\n\n\n\nYou have: \n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training\n\n* At least 2 years of professional experience with Scala. You are able to work on the full development cycle of an application, from designing a system, to validating by the code the possible assumptions and maintaining/improving an existing system\n\n\n\n\n\n* At least 5 years of general development experience including leading the design and development of back-end systems\n\n* Relevant education in Math, Statistics, Computer Science, or Physics. Msc/PhD a plus\n\n\n\n\n\nWe’d be extra impressed if you also have: \n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* Dev-Ops: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n* Experience in working in/with remote teams\n\n* Experience in working in agile/lean methodologies\n\n* A side project or blog that showcases your passion\n\n\n\n\n\nLocation: remote. Flexible within timezone CET +/-2\n\n\nWe believe that the more inclusive we are, the better products we build and the better we are able to serve our customers. Women and other minorities under-represented in tech are strongly encouraged to apply.\n\nABSOLUTELY NO HEAD-HUNTERS OR AGENCIES, PLEASE


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Senseye


Machine Learning Engineer

Machine Learning Engineer


Senseye


golang

 

machine learning

 

engineer

 

golang

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
Southampton, United Kingdom - We are seeking an ambitious and versatile Machine Learning Engineer, whose responsibility will be to understand research generated by our researchers and put this into production software. You will work closely with the wider development and R&D teams to bring...


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Carfeine


Machine Learning Specialist With Google Ads Experience

Machine Learning Specialist With Google Ads Experience


Carfeine


ads

 

machine learning

 

ads

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nCarfeine is a technology company currently serving the automotive industry. We are looking for a Machine Learning Engineer with a strong background in Google Ads to build intelligent systems that help our customers to launch the most successful marketing campaigns. Our systems leverages diverse data sources to present marketing tips, and pricing allocations. We will be focused on personalization and developing a number of intelligent agents to be launched on a cross-channel platform.\n\nThere is a possibility of conversion to FTE but it is not required.\n\nResponsibilities:\n\n• Provide insights and test machine learning and deep learning frameworks for products under development\n• As an individual contributor provide production-ready code for integrations into overall artificial intelligence products\n• Reports to the CTO and has a strong collabaration with the Product Owner\n• Work in tandem with data scientist/data analyst to train and test algorithmic designs\n• Synthesize and summarize machine learning research papers and provide executive summary to CTO & SWE team\n\nPreferred Qualifications:\n• Masters or Ph.D. and advanced mathematics coursework\n• 7+ years’ software engineering, and/or research experience\n• Intimate knowledge of the Google Ad data object ecosystem and the Google Ads API\n• Proven track record of success in the form of publications, patents or execution of successful AI technologies\n• Ability to work as an individual contributor, independently and with minimal supervision\n• Ability to work in a team environment when needed, providing deliverables to other team members on time and to specifications\n• Exceptional understanding of machine learning, statistics, and deep learning frameworks\n• Individuals with advanced degrees or post-graduate licenses in data science, machine learning or deep learning preferred\n• Programming languages and technologies: Python, C#, Java, Javascript\n\nPreference given to individuals in the Austin, TX or Washington, DC areas, but not required.\n\nNDA required


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phData


Machine Learning Platform Architect

Machine Learning Platform Architect


phData


architecture

 

machine learning

 

architecture

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nData Science and Big Data are all we do.\n\nIf you're inspired by innovation and passionate about driving customer success - this may be the ideal opportunity to leverage your systems engineering and automation experience to build and support Machine Learning platforms for the clients we serve.\n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters located in downtown Minneapolis and in Bangalore, India.\n\nAs the world’s first and only Data Science Enablement services firm and the largest pure-play Big Data service provider, our team includes Apache committers, Machine Learning experts and the most knowledgeable Spark and Scala development team in the industry. phData has earned the trust of customers by demonstrating our mastery of Data Science and Big Data services along with our commitment to excellence.\n\nIn addition to phenomenal growth and learning opportunities, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid certifications - in addition to generous PTO, a comprehensive benefits program and employee equity.\n\nMachine Learning Platform Architect\n\nAs a Machine Learning Platform Architect, you will serve as the guiding force in architecting and engineering Machine Learning platforms for enterprise clients. In this hands-on role, your responsibilities will include:\n\n\n* Help automate and deploy Machine Learning platforms and applications\n\n* Guide customers on the best practices of upgrades, patches, and maintenance\n\n* Deploy continuous integration and security\n\n* Maintain constant curiosity and a thirst for learning\n\n* Investigate product related issues both for individual customers and for common trends that may arise\n\n* Participate in occasional weekend on-call rotation for critical support needs\n\n* Provide a best-in-class customer experience\n\n\n\n\nRequired Experience:\n\n\n* 5-7 years of Linux Systems Engineering experience to include monitoring, patches, upgrades, and O/S support\n\n* Proven system/application automation and deployment experience using Ansible, Chef, Puppet or similar tools\n\n* Experience with Application Web Frameworks is a plus;  Apache, Engenix, Tomcat, Spring, Flask, Play, etc is plus\n\n* Previous Consulting experience with external customers is highly preferred\n\n* Hands-on configuration with Security including LDAP, Active Directory\n\n* Passion for providing a great customer experience\n\n* Ability to work in a fast paced and agile environment\n\n* Excellent communication skills (written and verbal)\n\n* Strong problem-solving and analytical skills\n\n* Demonstrable troubleshooting skills\n\n* A positive attitude toward feedback and continual improvement\n\n\n\n\nPreferred Qualifications:\n\n\n* Working knowledge and experience with Python related technologies.\n\n* Understanding of networking, distributed systems, and Linux operating system concepts\n\n* Knowledge of relational database management systems (RDBMS), SQL and database concepts\n\n* On-the-job experience troubleshooting enterprise customer issues\n\n* Knowledge and experience with Kubernetes\n\n\n


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FineTune Learning


Backend Devops

Backend Devops


FineTune Learning


devops

 

backend

 

devops

 

devops

 

backend

 

devops

 
This job post is closed and the position is probably filled. Please do not apply.
\nPrefer someone close (-2 to +2 hrs) in East Standard Time zone\n\nFineTune is seeking a strong senior python + devops engineer who will be the expert in residence around\n\n\n* AWS (Google Cloud or any public cloud) infrastructure scaling, monitoring\n\n* python\n\n* sql, nosql and various database optimization\n\n* docker operations and microservices using Kubernetes\n\n* S3, SQS, message queues\n\n* Auto scaling\n\n\n\n\nS/he must have hands on experience working with at least 3 production released software projects/products.  We expect him/her to be highly proficient python developer also to also contribute to development of scalable services.  S/he must also have hands on experience with docker in production via Kubernetes like orchestration, comfortable with terraform or cloudformation and other cloud automation frameworks. \n\nS/he should be comfortable solving complex system problems while making sure to help increase velocity for software team when building new and updating existing services to scale to support 100k+ users\n\n\nS/he should also be comfortable interacting with stakeholder and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \nDevops engineer will work with engineering to find best ways to increase reliable continuous integration, continuous deployment to enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive scalability, automation, innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.


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Avanoo


NLP Machine Learning Engineer

NLP Machine Learning Engineer


Avanoo


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nFirst, a bit about Avanoo\n\nHave you ever wondered what the most successful people in the world have, that the rest of us don’t? No, it’s not a high IQ. And no, it’s not that they studied more than the rest of us at school. There are a whole host of attributes that these people embody, which are never taught in school. Things like perseverance, passion, laser-like focus, a positive mindset, and the list goes on and on.\n\nAvanoo exists to help employees at Fortune 1,000 companies embody these attributes, through 3-minute-a-day video programs and deep analytics that help us understand what their people need the most and predict what sort of content can drive the most impact.\n\nIf the skills we learn in school are the applications we use to get through life, the attributes we help people embody at Avanoo are like the operating system.\n\nWe're doing quite well\n\nWe just completed our series A round of investment, grew more than 3x over last year, and unlike many companies in Silicon Valley, we're profitable.\n\nWe've proven over and over again that we can help enterprises drive real impact to their bottom line just through the magic concoction we've put together. For example, with one of our clients, they were able to directly connect millions of dollars in new product innovations after 2 years of working with us. \n\nThe bottom line is, we're scaling so fast that our existing dev team can hardly keep up!\n\nWhat you'll be working on\n\nThat’s where YOU come in: Helping us sustain this incredible growth, by building NLP algorithms to help us analyze data from our customers' systems, deeply understand their culture, and deeply intelligent and insightful reporting that enables us to continue to drive performance for their culture.\n\nIf being part of a team that is building the first-ever platform that tracks and optimizes the human operating system, then read on!\n\nSkills & Requirements\n\n\n* 7+ Years software development experience\n\n* Excellent problem-solving skills\n\n* Solid grasp of OOP Principles\n\n* 2+ years experience with natural language processing\n\n\n\n\nSkilled in at least a few of the following natural language processing techniques \n\nRelevant NLP skills include: \n\n\n* Syntactic & Semantic Parsing\n\n* Word embeddings such as Word2Vec\n\n* Machine Translation & Compilers\n\n* Text Classification & Clustering\n\n* Search Indexing & Fuzzy Matching\n\n* Data Analytics & Error Analysis Machine Learning for NLP\n\n\n\n\n\n


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FineTune Learning


Senior Software Engineer

verified

Senior Software Engineer


FineTune Learning


dev

 

senior

 

engineer

 

digital nomad

 

dev

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nA project that will help millions of students. A diverse, highly collaborative team that's both talented and friendly. We're FineTune and we've got a platform that will soon be an integral part of the educational experience of millions of high school students taking AP and Pre-AP classes. We're a small company making a big difference and we're proud of that. FineTune is also an Equal Opportunity Employer deeply committed to non-discriminatory hiring and to the principle of providing employees with a work environment free of any kind of discrimination or harassment. \n \nThrough our partnership with College Board, one of the most influential organizations in American education, our software will soon reach every high school in the U.S. Right now, we're integrating with Learnosity, scaling up to serve 3-5 million students and building out our innovative feature set in preparation for launch in 2019. It's an exciting time for us and we're looking to grow our team to help tackle these challenges. \n\nWhat we're looking for are talented, experienced engineers who can come in at a senior level and get up to speed quickly. The core of our stack is Flask and React, so you need to know at least one of Python or Javascript very well. An ideal candidate will have 10 years of total experience across three different products and be able to work on any part of the software stack. Here are some of the relevant technologies, techniques and areas of interest for this role; the more of them you have experience with, the better:\n \nSqlAlchemy, GraphQL, SQL, Redis\nDocker, AWS, Git, Terraform\nAxios, Webpack, Redux\nLearnosity, \nmicroservices, database performance tuning, automated testing, \nScalability, security\n \nAll of our engineers need to have sound fundamentals including knowledge of performance and scalability, debugging skills, and the ability to modularize, refactor and document code. Communication skills are especially important to us. We're a fully remote team that uses all of the modern tools to keep in close contact and support each other. Every developer here works directly with our customers, our designers and our QA team every day. Work/life balance is very important to us and, as a remote company with team members located around the world, we offer very flexible schedules. \n\nWe're looking for someone who will fit this role and is excited about making a huge impact in learning, while working in a collegial, highly collaborative environment. If that sounds like you, then send your resume and any supplemental links to [email protected]


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Simon Data


Machine Learning Engineer

Machine Learning Engineer


Simon Data


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nABOUT US\n\nSimon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.\n\nWe are the first and only enterprise customer data platform with a fully-integrated marketing cloud. Moving beyond the limitations of both categories, Simon’s platform empowers businesses to leverage enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.\n\nOur culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.\n\nTHE ROLE\n\nAs a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. In the model building process, we prioritize interpretable models whose training and performance yield insights about the underlying process, along with optimizing the selected objective. Finally, we believe that Don Knuth is more right about machine-learning models than anything else when he said premature optimization is the root of all evil. We only fix what needs fixing, but we fix it right.\n\nWHAT YOU’LL DO\n\n\n* Architect and implement the infrastructure used by Simon’s data scientists to analyze and model client data\n\n* Own the productionalization and performance of the statistical models deployed into Simon’s predictive products\n\n* Add new features to Simon’s industry-leading marketing cloud that enable adoption of predictive models\n\n* Coordinate feature launches between cross-functional parts of the business\n\n* Mentor our less senior staff and help them raise the bar technically and professionally\n\n* Collaborate with an engineering team who is passionate about quality, staying ahead of the curve, and teamwork.\n\n\n\n\nQUALIFICATIONS\n\n\n* Minimum of 3-5 years of production-level software engineering experience\n\n* Broad knowledge of machine learning models (and their performance characteristics) for classification and regression tasks\n\n* Experience in at least one statistical coding environment (numpy/pandas, R, etc.)\n\n* Fluency in SQL\n\n* Specific experience designing and building machine-learning models\n\n* Front-end development experience, especially in React/Redux applications is a plus\n\n* Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus\n\n* Excellent communication of statistical concepts to expert & non-expert audiences\n\n\n\n\nVisa sponsorship for this role is currently not available\n\nDiversity \n\nWe’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.


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Innovation Research Labs


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Innovation Research Labs


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nBackground\n\nWe now live in a world where we must ask hard questions about the technology we provide to corporations and governments, how that technology is used and how to deal with the inherent centralization of power that comes with machine based intelligence. We believe that a redesign of how we collect data, how we use that data and how we govern that data is required in order to make humans central to the solutions technology provides.\n\nWe are building an organization that is more akin to an ecosystem than a corporation, that addresses these problems with human­centric solutions that are open and open source. This new platform recognizes that data is a natural resource and gives each of us full autonomy over our data. We look for strong values driven people that share our vision.\n\nTechnical Area\n\n\n* \n\nNatural language processing techniques and information systems\n\n\n* \n\nObject detection in image/video/audio\n\n\n* \n\nGraph based neural network modeling\n\n\n* \n\nDistributed machine learning and differential privacy\n\n\n* \n\nKnowledge engineering\n\n\n* \n\nBoth prototyping as well as production level implementations\n\n\n\n\nRole\n\n\n\nWe are looking for a full time Senior Machine Learning Engineer to join us, a diverse group of people with strong values. Applying emerging research and development that moves the state­of­the­art as we build our platform. We believe in growing engineers through ownership and leadership opportunities. As such you are responsible for defining your research goals within the context of our larger common goals. We all learn from each other, your mentorship and guidance within the team is key towards reaching their goals by applying your experience in all phases of the design and development process.\n\nYou will operate in a highly participatory democratic organization. We constantly work with many unknowns and you get a sense of purpose from applying your domain knowledge to ambiguous and novel situations. You can operate well in an open source environment and you have a good intuition for good research and how to turn that into successful products.\n\nValues\n\nWe are strongly values driven. We believe that this provides the structure to scale our organization, innovate our technology and attract top talent as we strive to change the world towards a better future. These values apply to how we work and the philosophy of the solutions we create.\n\n\n\n\n\n\n\n\n\nMinimum Qualifications\n\n\n* \n\nMore than five years of professional experience in engineering with a demonstrated track record of technical innovation and leading successful engineering teams\n\n\n* \n\nSoftware engineering experience in at least one of the following domain areas: NLP, Machine Learning, Knowledge engineering, information retrieval or virtual assistants\n\n\n* \n\nStrong communication and collaboration skills\n\n\n\n\n\n\nPreferred Qualifications\n\n\n\n* \n\nAbility to work effectively both independently and within a team\n\n\n* \n\nExperience providing guidance and leadership to technical teams\n\n\n* \n\nStructured and detail­ oriented approach, following rigorous scientific and engineering\n\napproaches.\n\n\n* \n\nValues driven and intrinsically motivated towards our goal of data sovereignty\n\n\n* \n\nComfortable collaborating with geographically dispersed teams\n\n\n* \n\nStrong drive to solve problems that drive change based on engineering excellence\n\n\n* \n\nStay ahead of the technology curve, in tune with relevant research, trends and the\n\ncompetitive landscape\n\n\n\n


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Vorstella


Machine Learning Data Pipeline Engineer

Machine Learning Data Pipeline Engineer


Vorstella


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nAbout Us\nVorstella is an AI platform that automatically manages large scale distributed systems like Cassandra, Hadoop, Spark and Kafka for large companies. Founded by ex-DataStax engineers, weve designed some of the largest distributed system deployments in the world and we wanted to make this technology accessible to everyone. You shouldnt need 3 years of experience to feel comfortable running a new system at scale. We take the guesswork out of using new technology and let you focus on building your applications.\nWho we're looking forWere looking for someone that is probably 60% engineer, 40% machine learning. A little more street fighter, a little less ivory tower. Someone that can write production quality code, solve engineering problems, and knows enough ML to find good-enough solutions. Someone thats creative and can solve problems without always reaching for the ML hammer. Sometimes we use rules, sometime we use ML, sometimes we need to ask the user better questions.\nWhat youll be working on\nYoull be working on the machine learning pipeline and models. Weve got multiple signals both synthesized and raw being fed into root-cause analysis, database tuning algorithms and cost optimization. These models feed data to the UI/API which presents next best action to the end user. Were always looking for a solution that gets us to good outcomes as quickly as possible. Sometimes its basic, sometimes were pushing beyond the boundaries of whats published.\nOur stack\nOur deployment target is Docker and Kubernetes. On the frontend we use React/Redux. Back-end services are written in Go, with the machine learning code written in Python. Our continuous integration system is CircleCI, and we use GitHub for all our code. Were multi-cloud with deployments currently in Google and AWS.\n\nBenefits\n\n * Writing code that manages some of the largest distributed systems in the world. We work with customers that have hundreds of thousands of servers.\n * Youll be a senior member of the team, youll have strong input over large swathes of infrastructure as well as product ownership for core products and features.\n * Writing code and working with a team thats pushing the cutting edge of whats possible. Youll be working with some of the worlds experts in optimization and distributed systems.\n * The ability to publish and contribute to multiple popular open source projects.\n \n


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FineTune Learning


Solutions Architect


🇺🇸 US-only

Solutions Architect


FineTune Learning

🇺🇸 US-only

architecture

 

architecture

 
This job post is closed and the position is probably filled. Please do not apply.
\nUS Only Applicants please (Preferrably in East Coast)\n\nFineTune is seeking a solutions architect who has been a software engineer for at least 10 years delivering production quality software and who has also worked with software teams to implement efficient agile processes.  You must have strong technical analysis, documentation and diagramming skills.  Communicating clearly with workflow, visual, architecture, UML, software component diagrams is essential.  Being able to connect user experience and software modules in work flow diagram to guide developers on implementation strategy is critical.\n\nWe would prefer someone who has deployed applications to AWS (or any public cloud) with experience in infrastructure scaling, monitoring, python, sql optimization, docker, database performance, operations and microservices. S/he must have experience working with at least 3 production released software projects/products. S/he would be helping our product owner write stories that are geared technically friendly to developers, communicate requirements to all devs, make sure acceptance criteria are met before staging for acceptance review and also be hands on tech to solve complex system problems, identify data inconsistencies while being able to run existing automated tests or do manual QA to make sure software team builds new and existing services according to customer expectations.\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \nTech Product Manager will work with 30 people engineering and QA team to find best ways to increase reliable continuous integration, continuous deployment to enhance software quality and development speed.\n\nWe are integrating also with Learnosity so hands-on experience implementing Learnosity experience would be a big plus.\n\nS/he will interface with CTO to continuously drive scalability, automation, innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.\n\n#Location\n🇺🇸 US-only


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Elastic


Machine Learning Information Engineer

Machine Learning Information Engineer


Elastic


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nInformation Engineer\n\nAt Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to real time Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.\n\nMachine Learning at Elastic \n\nMachine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. We have developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior or finding malicious devices.\n\nTo help us further expand our capabilities we are looking fo an exceptional individual who can support us in our insatiable appetite for data. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.\n\nWhat you will be doing\n\nTo support data driven development of engineering features by becoming a super-user of our ML tool set, by making meaningful data accessible to engineers and in helping to maintain and improve the quality of results. Responsibilities will include:\n\n\n* Curate and extend data library - develop, acquire and catalog datasets representative of core customer use cases\n\n* Perform data analysis on complex datasets and clearly describe and communicate findings to peers\n\n* Develop ML job configs for known uses cases\n\n* Develop standardized labeling techniques for datasets in our catalog. For example, known outliers or anomalies (unsupervised), or output labels (supervised).\n\n* Build statistical robustness tests for machine learning models against an ever growing data catalog\n\n* Follow GDPR policies, security and data license requirements where applicable\n\n\n\n\nYour background\n\n\n* Highly numerate with education background in Mathematics, Computer Science, Information/Library science, Physics, Engineering or similar\n\n* Solid industry experience working with data; for example as a data analyst, software-, QA engineer or similar\n\n\n\n\nWhat you will bring\n\n\n* A proven ability to work with large amounts of data (at least 2 years)\n\n* Able to work as part of a distributed team, having strong collaboration and communication skills\n\n* Detail oriented with a librarian-like approach to organization\n\n* Able to analyse real-world datasets and extract insights according to customer use case\n\n* Knowledge, interest and a real passion for topics in big data, machine learning, data mining and statistical analysis\n\n\n\n\nExperience required in some or all of these areas\n\n\n* Software engineering (Python, Java, C++)\n\n* Statistical packages and tools (e.g. R, SAS, Octave, MATLAB etc)\n\n* Visualization technologies\n\n* NoSQL or relational databases\n\n\n\n\nAdditional Information: \n\nWe're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. As a distributed company, we believe that diversity drives our vibe! Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.\n\n\n* Competitive pay based on the work you do here and not your previous salary\n\n* Stock options\n\n* Global minimum of 16 weeks of paid in full parental leave (moms & dads)\n\n* Generous vacation time and one week of volunteer time off\n\n* Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.\n\n\n\n\n#LI-MD1\n\nElastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.


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Findify


Scala Machine Learning Engineer

Scala Machine Learning Engineer


Findify


scala

 

machine learning

 

engineer

 

scala

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for Scala ML engineers to help us build and maintain our machine learning platform. At Findify, we make extensive use of data-collection, processing and machine learning algorithms to help our merchants provide better search and recommendations to their customers. You would be responsible for building and improving our machine learning algorithms to help us achieve this goal.\n\nOur tech stack:\n\nWe always strive to use the most suitable tool for the job, so our stack is constantly evolving. Currently, our backend is written mostly in Scala and Node.js. We use Scala for data processing and to power our machine learning algorithms. Node is used as a web framework to facilitate the interaction with our customers via various APIs. We make extensive use of AWS, and use any component we find suitable within our architecture, so we can focus on building our proprietary tech.\n\nWe’re not afraid to challenge our choices, we love open source and above all, we’re a product driven company so technology is at the core of everything we do. You can check out our full stack on StackShare.\n\nOur development culture:\n\nWe are a small team that moves fast and iterates. We run weekly sprints, code reviews, testing, and once your code is submitted it gets pushed to production through our continuous deployment infrastructure (Jenkins). We put a lot of emphasis on code style, cleanliness and robustness. You will get to work with amazing engineers specializing in machine learning and distributed systems.\n\nWhat you can expect from us:\n\nYou’ll have the opportunity to make a real impact on the product, company vision and culture. You will get to work with the latest technologies out there, without being bound to any legacy. We will never limit your creativity, never shut down ideas before testing them with customers and we will never be boring! it's going to be an exciting ride!\n\nIf this sounds like a company you’d love be a part of building, and you’ve got the skill set, please get in touch with us!\n\nWe’d love to hear from you!\n\nSkills and requirements\n\nWhat we're looking for:\n\nThe most important thing we are looking for in a candidate is proven passion for programming and problem solving: a Github/Stackoverflow account, an interesting project you can share, or a blog you write will go a long way.\n\nWe are a distributed team, so you can work from anywhere you want, as long as it's 2 hours +/- from CET. (The timezone is an important requirement for us at this stage). Located in Dublin? A huge plus.\n\nIt’s really important to us that you have the ability to adapt to the company’s work processes using the agile-scrum methodology, and using tools such as Jira and Slack. Not only because of our remote working culture, but even more so because of this, you need to be really awesome at communicating, and to be organized and self-driven.\n\nOh, and you need to want to have fun :)\n\nYour responsibilities:\n\n\n* Improve the search relevancy and recommendation quality for our 1500 merchants, while keeping an eye on recent academic research in this field.\n\n* Implement new ML algorithms and improving old ones to make the Findify search and recommendations quality better.\n\n* Setup the data processing pipelines to feed these ML algorithms\n\n\n\n\nThe basics:\n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training.\n\n* 2+ years of professional experience with Scala. The candidate should be able to work on the full development cycle of an application, from designing a system, to validate by the code the possible assumptions and maintain/improve an existing system.\n\n* 5+ years of general developer experience. Experience in design and development of backend systems without major external supervision. We are looking for a candidate that can be autonomous and own their projects.\n\n* Computer Science education. We use a lot of cool algorithms in the Findify backend code, we really care about O(N*logN).\n\n\n\n\nBeyond the basics:\n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* DevOps: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n\n


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Seez


Kickass Python Machine Learning Engineer

Kickass Python Machine Learning Engineer


Seez


python

 

machine learning

 

engineer

 

python

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nBe a part of a growing startup and join us in changing how people buy cars\n\nSeez is looking for a kickass ML engineer with in-depth knowledge in building machine learning end-to-end projects; researching the problem, feature selection, model building, correctly evaluating the model to building a scalable service and deploying it. Our current ML stack is mostly based around the python data stack so we preferbly want someone with experience in this domain. \n\nYou will be a part of a distributed team in the middle east and europe, with possibility to work anywhere in the world, though we would love to have you at one of our offices. Your role will be to help make a great product that many people will use and love. You will have freedom, you will be challenged, you will not be shut down due to bureacracy, your voice will be heard. We are not looking for a freelancer. If you are further than +/-  3 timezones from UTC+1, please don't apply, as it makes communication and synchronizing work hours too complicated. We value communication very highly and you will be expected to participate and join discussions in product development as well as company direction, lastly, you are not a code monkey. We have a very free and openminded culture and are preferably looking for someone with the same mentality.\n\nWe use slack extensively and employ very little hierarchy, you are free to speak your mind, come up with ideas and be a part of our community. Even though Seez is a startup and in the real world, funds are limited, we value our employees highly and acknowledge that a great developer should be paid a competitive salary.\n\nOur ideal candiate has the following characteristics\n\n\n* An analytical mind with product-first mentality\n\n* A minimum of 3 years of experience as a machine learning engineer, building machine learning products.\n\n* Extensive machine learning knowledge (regression, classification and recommenders mostly)\n\n* Your education is less important than your ability to challenge yourself and write code (We’d rather see a beautiful GitHub profile than a fancy degree).\n\n* You care greatly about code quality.\n\n* You take pride in what you do, but welcome critique\n\n* Prior experience in working with Scrum and, or Agile methodologies.\n\n* Good communication skills and willingness to work in a team.\n\n* Complete proficiency in reading, writing and speaking english\n\n* A lot of good ideas and constantly following the latest trends in your field\n\n\n\n\nTechnology and tools in order of importance:\n\n* Python data stack (numpy, sklearn, pandas, jupyter notebooks,  scipy and matplotlib)\n\n* DBMS knowledge - writing SQL and designing schemas\n\n* Docker (we use it extensively)\n\n* Other general backend related tasks (API, crawling and devops)\n\n\n\nWe value growing our team and there will be plenty of oppurtunities for you to jump into our other projects and get familar with our other projects.


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Jaumo


Machine Learning Engineer F M

Machine Learning Engineer F M


Jaumo


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe're looking for a new employee in our lean team (15 people including 7 backend/mobile engineers and 2 machine learning engineers), and give you the opportunity to be part of a very exciting journey.\n\nYou are a Machine Learning Engineer (f/m) with strong experience, and you will be an essential part of our bootstrapped and 100% remote company. The position is full-time. This is an excellent career opportunity to join a fast-growing company in a key position.\n\n\n\nYou will:\n\n\n* provide our award-winning apps - used by millions of active users every day - with an intelligent and personalized experience for finding a partner\n\n* solve challenging problems like fraud prevention (online dating scam/fakes, ad fraud), automated moderation, image recognition, optimizing matching algorithms and our recommendation system. \n\n* take ownership of your codebase\n\n* be accountable for all aspects of your work, from research and analysis to testing and deployment\n\n* work agile with a motivated and innovative small team (including us, the two founders)\n\n\n\n\n\n\nSkills & Requirements\n\nAn ideal candidate is autonomous, proactive, and has experience working in a variety of different platforms and technologies. We admire engineers who take the initiative, make their own decisions and implement them precisely. \n\n\n\nYour qualifications:\n\n\n* at least 3 years of experience in software development, ideally in a high-performance web or mobile environment\n\n* solid experience in at least one of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence\n\n* experience with one or more general purpose programming languages like Python or Java\n\n* you love getting things done you never give up, when it’s getting difficult. It’s a challenge to master every situation.\n\n* you speak and write business-fluent English\n\n\n\n\n\nIf this profile matches your expertise, experience, and aspirations, we’d be delighted to receive your full application, including references, salary requirements, and possible starting date.


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Selerity


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Selerity


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nSenior Machine Learning Engineer\n\nSummary:\n\nSenior Machine Learning Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced Machine Learning Engineer to join a major initiative at a critical point in our company’s growth.  This is a hands-on role, applying the latest technology in natural language processing and machine learning (including deep learning) to real-world problems in capital markets, institutional research, financial news, and social media.  Machines are playing an ever-increasing role in finance and we're leading that trend.\n\n\nMust-haves:\n\n* Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.\n\n* Experience applying NLP and/or machine learning to large-scale datasets, especially text.\n\n* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n* Advanced proficiency working in Java in Linux environments.\n\n* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments.  Not just research and prototypes.\n\n* Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n* Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n* Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n* Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\nNice-to-haves:\n\n* Advanced degree (MS/PhD) in a quantitative field such as Computer Science or Statistics.\n\n* Proficiency in C++, Python, Scala, or other commonly-used languages.\n\n* Experience with analytics visualization libraries.\n\n* Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n* Deep understanding of how to build software agents and conversational workflows.\n\n* Knowledge of capital markets concepts, entities, and processes.\n\n\nOur stack:\n\n* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, Electron, Scala, etc.\n\n* A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, IntelliJ.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected]  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position.


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FineTune Learning


Lead QA Engineer

Lead QA Engineer


FineTune Learning


qa

 

exec

 

engineer

 

qa

 

exec

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a lead QA engineer for our AP and Pre-AP software product.   You must reside in the US to apply.  We are a fully distributed and international team though 1/3 of us are in Boston Metro area.  S/he will have the opportunity to work on mission critical software that will impact 3-5 million students in 2019. \n\nIf you are highly technical and care about rigorous QA process, getting ahead of software development and defining clear acceptance criteria, comprehensive test cases for repeatable test runs and extremely interested in reliable software development, this is the right job for you.  You must be well versed in requirements gathering, extremely detailed in the organization of test scenarios and test runs while having experience running various selenium based testing, load testing (Python Locust), api testing, data driven testing.  You must feel comfortable with SQL and understand test driven development (TDD) and behavior driven development (BDD).  You must have worked in QA'ing at least 3 production released software that served at least 10K+ users.  S/he will be working with our development team, product owners, designers and increase the quality of the software so that we may serve 3 million+ users in 2019.\n\nRequirements:\n\n\n* Proven experience in understanding complex user needs with multiple stakeholders\n\n* Proven examples of generated detailed requirements documentation, acceptance criterias, test scenarios, test runs and sprint bug reports\n\n* Extremely metric oriented and strive for repeatability across the QA team\n\n* 5+ years of QA experience\n\n* 5+ years experience with API testing, UI testing, end to end testing and various types of manual testing.\n\n* 5+ years experience QA’ing high-availability enterprise software a plus\n\n* 5+ years experience with Databases (SQL or noSQL) to manipulate, load and delete test data\n\n* Experience with Selenium testing and rigorously combining automated and manual testing striving for 100% use case coverage\n\n* Ability to clearly document bugs, screen shots, console logs and bug replication steps so developers can rapidly fix bugs\n\n* Ability to communicate with devs in technical terms on browser exceptions, API errors, HTTP status codes and application latency\n\n* Understanding of load testing is a plus\n\n* Experience with apache bench is a plus\n\n* Python based automation is a plus\n\n* Strong Agile Process Experience\n\n* Experience with continuous integration, test driven development, behavior driven development\n\n* Ability to dive deep into technical issues and identify whether a bug is front end or back end related\n\n* Strong verbal and written communication skills\n\n* Comfortable with github and merging pull requests\n\n* Experience in debugging performance issues in docker, kubernetes and AWS ECS containers is a plus\n\n* Experience in debugging performance issues with javascript and reactjs or other SPA architecture a plus\n\n* Desire to continuously, learn, improve and apply new technologies that will increase operational efficiency and effectiveness\n\n* BS/MS in Computer Science or equivalent a plus\n\n\n\n\nAs we prepare for rapid business growth from here, FineTune Learning is seeking to hire a Lead QA Engineer who have worked in at least 3 production released software/web/mobile products.  We are looking for people who have strong motivation to grow startup companies, who is agile and continuously improving themselves while having an opinion for great software components and services with great attention to detail in delivering reliable software that is well tested according to user expectations.


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COMPAREX USA


Senior Machine Learning Engineer

Senior Machine Learning Engineer


COMPAREX USA


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nDo you yearn to make a significant impact?  Do you enjoy working in fast paced HIPO teams with challenging goals?  Are you ready for an experience that will put all of your technical and personal skills to the test?\n\n\nIf this environment appeals to you, we invite you to apply for a new special operations unit reporting directly to the CEO of one of the world's leading global technology solutions provider. \n\n\nToday we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.\n\n\nThis unit will be tasked with creating innovative solutions leveraging the rapidly evolving power of Machine Learning and Artificial Intelligence to provide new insights and value to our customers.  \n\n\nAbout the Job\n\n\nAs a Senior Machine Learning Engineer, you drive the vision to build and scale our machine learning and experimentation platforms. This is your opportunity to make a big impact - ranging from delivering a personalized customer experience to optimizing advertising spend to improving merchandising efficiencies.\n\n\nYou work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, distributed memory services, service monitoring, real-time experimentation, data transformations, and much more.\n\n\nYour services scale to support high volumes of traffic at low latency and high availability. This is a high profile position that will have exposure across the entire business.\n\n\nThe successful candidate owns the roadmap, features, and design of one or more core services. Responsibilities:\n\n\n\n* Design and build scalable machine learning services and data platforms\n\n* Feature engineering to improve model performance on key business metrics\n\n* Owner of key service and business metrics\n\n* Work with multiple teams to understand their goals, challenges, and roadmaps to inform your product roadmap\n\n* Design in a mindset of reducing technical debt and encourages others on the team to do so\n\n* Regularly and measurably improve and is a champion of team process and best practices\n\n* Mentor others in development technologies, tools, and processes\n\n* Work with minimal supervision under tight time constraints and respond to rapidly evolving requirements\n\n\n\n\n\nQUALIFICATIONS\n\n\n\n* 7+ years of software development experience building and operating high traffic web services and platforms 2+ years of practical Machine Learning experience.\n\n* Familiarity with frameworks such as Azure Machine Learning and Cognitive Services\n\n* Caffe Experience with Spark, Hadoop, Pig, MapReduce technologies\n\n* Excellent written and verbal communication skills\n\n* Strong software design and architecture skills with an eye toward avoiding and reducing technical debt\n\n* Demonstrated personal initiative and strong ownership of deliverables\n\n\n\n\n\nCandidate must be willing to travel domestically monthly for team meetings and training events.  Opportunity to work from home (if outside Raleigh area) or relocation if desired.  Excellent compensation and benefits package.\n\n\nWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 


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Hays Specialist Recruitment


Machine Learning Engineer

Machine Learning Engineer


Hays Specialist Recruitment


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\n\nMachine Learning Engineer opportunity in Belfast - Diaceutics are a PharamaTech data organisation. \n\n\nYour new company \n Diaceutics are a brand new entrant to the Northern Ireland market - a Medtech organisation that have been in business for almost 15 years and count some of the leading organisations within the health/pharmacy world as their clients. This role is a strategic appointment as the company seeks to deliver their customers a true competitive advantage by appointing N.I.'s best data talent within it's ranks to develop outstanding products and solutions. \n \n Your new role \n Directing the organisation's analytics capabilities, you'll have the opportunity to develop new solutions using cutting edge tools and algorithms. Your key responsibility will be to analyse current data sets and identify supportive data sets for NPD in a highly collaborative and driven product environment. You'll claim ownership for the design, development, delivery and evaluation of these new solutions and directly influence company strategic decision making with your expertise and knowledge. \n \n What you'll need to succeed \n Ideally you should be educated to MSc or PhD level within an IT/mathematical/scientific discipline and have an intermediate level of experience. You'll be passionate about being hands on in developing algorithms/mathematical models whilst also taking a step up to being involved at a more senior strategic level. Ideally, you should have skills within cloud-based systems, be comfortable in a programming language (Java/Python/C++) and have a high level of competency in data modelling/manipulation. Your experience in Machine Learning, Neural Networks and Deep Learning are considerably attractive to your new organisation. \n \n What you'll get in return \n This unique opportunity will provide you with a substantial salary and benefits package in line with your data science experience. As a Director, you'll be given the opportunity to directly influence the company direction and be positioned as the company ambassador for Data Science/ML in lectures/events etc. \n \n What you need to do now\n If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Jason Brownlee at Hays IT now.\n \n If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.\n \n Hays Digital Technology is working exclusively in partnership with Diaceutics to manage the recruitment of this position. \n \n\nHays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk


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Mycos Technologies


Machine Learning Research Engineer

Machine Learning Research Engineer


Mycos Technologies


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWork with a Google Top 10 Expert in the field of ML to create innovative solutions in relationship analytics.  The position can be based in Singapore, Bangkok, Chiang Mai, or remotely for the right candidate.\n\nSkills & Requirements\n\n\n* A creative approach to problem solving\n\n* An understanding of fundamental statistical and machine learning algorithms\n\n* Solid programming skills in one programming language (Python preferred)\n\n* Some exposure to Keras, Tensorflow or other ML libraries\n\n* A willingness to discuss, collaborate, and disagree, professionally\n\n* A passion for exploration and iteration\n\n\n\n\nWhat will get Our Attention\n\n\n\n* Keras or Github contributions\n\n* Academic credentials in statistics, mathematics, ml, or research-focused computer science\n\n* Coursera \n\n\n


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FineTune Learning


Senior Full Stack Dev Python Docker Reactjs

Senior Full Stack Dev Python Docker Reactjs


FineTune Learning


react

 

python

 

full stack

 

docker

 

react

 

python

 

full stack

 

docker

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a full stack developer with stronghands on experienceon python, pytest, docker, database performance and microservices. S/he must have experience working with at least 3 production released software projects/products that they have deployed on AWS or Google Cloud. S/he should behands on tech and comfortable solving complex system problems while making sure software team understands clearly what they arebuilding, while refactoring/architecting new and existing services to scale to support 5 million users.  A big plus if the developer has strong reactjs/redux, axios, graphql also.\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. Full stack developer will also work with QA team to find best ways to increase the performance of the development team and enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard. S/he will be essential member of the leadership team to drive company vision and mission while scaling the software for larger audience.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Affectv


Java Developer Learn Big Data Machine Learning

Java Developer Learn Big Data Machine Learning


Affectv


big data

 

dev

 

java

 

machine learning

 

big data

 

dev

 

java

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nDo you want to learn Big Data & Machine Learning within your Java Developer role? Would you enjoy working on Large Data Sets/Data Lakes? Do you want the flexibility of working from home?\n\nIf the answer’s yes, then this is the role for you!\n\nThe best part is that you need no prior experience working in a Data Engineering position – just a solid knowledge of Java and the passion for wanting to make the move into a more data heavy role!\n\nWe’re a mature tech start-up based in Central London and we need an innovative, passionate and enthusiastic Java Developer to create and maintain a highly scalable intelligent Data Lake platform, making use of Big Data and Machine Learning concepts which you will get to learn on the job.\n\nWe have a unique platform and we’re totally revitalising the way mobile apps are promoted, advertised and marketed. As a result, we’re helping thousands of developers manage and monetise their apps, making them more visible to the wider public, making them easier to download, increasing the amount of downloads and therefore increasing revenue streams.  \n\nWith excellent investment and a team of experienced leaders, we now need to scale up the development team (starting with the Java team and then looking to scale up the Data Science function).\n\nTo succeed as Java Developer (with a focus on data), you’ll learn skills on the job to:\n\n\n* Develop a complex, intelligent Data Lake Platform\n\n* Work collaboratively with Java and Data Science teams\n\n* Design highly scalable Java 8 architecture\n\n* Utilise big data and machine learning technology\n\n\n\n\nWe’re at the forefront of the industry and Tech is everything to us. As Java Developer you’ll have the opportunity to work with the latest technologies in the market (Big Data, Machine Learning, Scala, Python, Spark), with scope to gain cross-training into other areas of the business including Data Scientists roles or further careers within Java at Lead level in the future.\n\nIn order to do this, you’ll bring your experience including:\n\n\n* A passion for Clean Code and best engineering principles, and you’ll be able to discuss where and why you’ve implemented them in previous roles.\n\n* Conceptual knowledge of Dropwizard for microservices architecture\n\n* Knowledge of Gradle for Automation and GIT for version control\n\n\n\n\nFamiliarity of Docker Containers and AWS knowledge would be a big bonus, and an understanding of REST API & GUICE for dependency is highly beneficial but definitely not essential.\n\nYour work/life balance matters, and we know that you’ll do you best work when you’re comfortable. So, with that in mind, we use Slack, Zoom and other tech to create a flexible working environment, enabling you to work remotely or with the option of flexible hours.\n\nOnce up to speed with the tech and applications, you can choose to work from home or come into the office after rush hour. Avoid that manic/uncomfortable commute!\n\nWe know you’ll be successful as our new Java Developer so we’re offering a competitive benefits package including share options and an extremely fast rate of progression due to rapid business growth plans.\n\nAnd that’s not all! As well as the experience you’ll gain in Big Data, Machine Learning & AWS, you’ll have unlimited holidays, work alongside an ambitious Data Science team and progress rapidly. Oh, and as well as a healthy salary, we’ll keep you healthy with unlimited fruit, tea and coffee (OK, caffeine isn’t that healthy, but it makes us happy…).\n\nAre you ready to tackle this challenge?\n\nKick your Java Developer career up a gear and apply now! \n\nTapdaq work in partnership with Talent Point, a Hiring Communications business, who have designed this role on behalf of Tapdaq. When you apply, Giggs will give you a call and he'll tell you even more details about the role and help you though every step of the process.\n\n\n \n No terminology in this advert is designed to discriminate on grounds of gender, race, colour, religion, creed, disability, age, sex or sexual orientation. We’re an equal-opportunity employer and do not discriminate against these or any other class protected by applicable law.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Radical Convergence


Machine Learning Engineer

Machine Learning Engineer


Radical Convergence


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nRadical Convergence is looking for extraordinary people who want to join an amazing team and solve big problems for our customers. We are seeking a Machine Learning Engineer to work collaboratively with highly talented team members to create a best-in-class software application. The ideal candidate has experience applying state of the art machine learning algorithms and deep learning frameworks to perform classification, detection, key attribute extraction and other deep learning techniques against multimedia content (i.e. images, videos). The ideal Candidate will also have strong software development skills and scripting experience to prototype algorithms and models working with a team of engineers to productize offerings. \n\nQualifications\n\n\n* 3+ years experience in selecting or developing algorithms for performing a variety of machine learning and computer vision tasks with demonstrable experience\n\n* \n\n3+ years experience in applying and adapting the latest research in machine learning and computer vision to support business objectives including prototype development and product integration.\n\n\n* \n\n3+ years experience performing model training / algorithm development optimizing for speed, size or accuracy and developing / refining new and existing training sets as required.\n\n\n* \n\n5+ years experience designing, developing, enhancing, debugging and implementing software and algorithms using programming languages such as Java, C++, Python, R, or JavaScript.\n\n\n* \n\nProficiency in Machine Learning processes such as feature extraction, statistical approaches, linear and non-linear classifiers, and deep learning including one or more approaches such as Convolutional Neural Networks, Recurrent Neural Networks, Recursive Neural Networks, or Generative Adversarial Networks.\n\n\n* \n\nExperience with deep learning frameworks such as Caffe, TensorFlow, or Torch\n\n\n* \n\nProficiency in in Image Processing, Image Analysis, and/or Computer Vision\n\n\n* \n\nAbility to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. \n\n\n\n\n\nCompensation depends on candidate's experience with relevant machine learning qualifications. Onsite preferred though with the right candidate will consider remote. 


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning


Senior Front End Dev

Senior Front End Dev


FineTune Learning


front end

 

senior

 

digital nomad

 

front end

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
\nOnly accepting US applicants\n\nFineTune is seeking a senior reactjs/redux front end software engineer for our Pre-AP software product.   S/he will have the opportunity to work on mission critical software that will impact 3-5 million students in 2019.  If you are well versed in various javascript frameworks Angularjs, Emberjs, but particularly Reactjs/Redux and have created at least 3 production released software, you are welcome to apply. S/he will be working with our existing platform and front end code base to refactor and use feature flags to enable software for 9th graders while designing the front end code to be highly modular and optimized for best user experience. We will be hitting several milestones to serve 3 million+ users in 2019.\n\nRequirements:\n\n\n* comfortable with npm packaging/publishing,\n\n* webpack customization and configuration\n\n* experienced in developing for multiple web browsers and mobile for various platforms\n\n* experienced developing for responsive UI \n\n* good handle of computer science\n\n* good handle of event driven software design pattern\n\n* be well versed in object oriented programming\n\n* be well versed in debugging REST API and graphql APIs\n\n* be well versed in debugging using breakpoints, source maps and Chrome developer tools\n\n* be well versed in test driven development\n\n* experience in docker based development environment a plus\n\n\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features.  \n\nFront end software engineer will work very closely with the designer, business stakeholders, QA and other engineers to deliver features.  You must be well versed in test driven development (we use jest/enzyme/nightwatchjs) and find best ways to increase the speed of delivery while enhancing the quality of our software.\n\nS/he will interface also interface with CTO to continuously drive innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning


Scrum Master Tech Product Manager

Scrum Master Tech Product Manager


FineTune Learning


product manager

 

scrum

 

exec

 

product manager

 

scrum

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a tech product manager who has significant agile software development experience in customer facing roles and been a software engineer for at least 7 years delivering production quality software and who has also worked with software teams to implement efficient agile process.  We would prefer someone who has deployed applications to AWS (or any public cloud) with experience in infrastructure scaling, monitoring, python, sql optimization, docker, database performance, operations and microservices. S/he must have experience working with at least 3 production released software projects/products. S/he would be helping our product owner write stories that are geared technically friendly to developers, communicate requirements to all devs, make sure acceptance criteria are met before staging for acceptance review and also be hands on tech to solve complex system problems, identify data inconsistencies while being able to run existing automated tests or do manual QA to make sure software team builds new and existing services according to customer expectations.\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \nTech Product Manager will work with 20 people engineering and QA team to find best ways to increase reliable continuous integration, continuous deployment to enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive scalability, automation, innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

BuzzBird


Machine Learning Data Engineer

Machine Learning Data Engineer


BuzzBird


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\n\n* In deiner Rolle wirst du unseren Matching-Algorithmus perfektionieren. \n\n* Wir suchen keinen reinen Wissenschaftler, sondern in dieser Phase jemanden, der vor allem viel praktische Erfahrung mit Datenvorverarbeitung und einen guten Überblick über die AI Landschaft mitbringt. \n\n* Du solltest in deinem letzten Job schon einmal Machine Learning (am besten in einer Startup Umgebung) implementiert haben. \n\n* Die dazugehörige Infrastruktur kannst du selbst mitgestalten (Data Management, etc.).\n\n* Zugriff auf unser Backend mit bisherigen Booking Transaktionen für Performance-Indikatoren.\n\n* Im Optimalfall kennst du die APIs der großen Social Networks in und auswendig. Wenn du einen anderen Background hast, haben wir bei uns aber auch entsprechenden Ikonen. \n\n* Du solltest GIT Branches im Terminal mergen können.\n\n* Du hast schon mal ein Team geleitet oder traust dir zu eines zu leiten.\n\n* Die Arbeit generell ist im Social Media / Marketing Umfeld (YouTube, Instagram, Facebook,...). Dich sollte das Thema schon interessieren, um mit uns auf Augenhöhe über Features zu diskutieren.\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning

 

Tech Product Manager

Tech Product Manager  


FineTune Learning


product manager

 

exec

 

product manager

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a tech product manager who has been a software engineer for at least 10 years delivering production quality software and who has also worked with software teams to implement efficient agile process.  We would prefer someone who has deployed applications to AWS (or any public cloud) with experience in infrastructure scaling, monitoring, python, sql optimization, docker, database performance, operations and microservices. S/he must have experience working with at least 3 production released software projects/products. S/he would be helping our product owner write stories that are geared technically friendly to developers, communicate requirements to all devs, make sure acceptance criteria are met before staging for acceptance review and also be hands on tech to solve complex system problems, identify data inconsistencies while being able to run existing automated tests or do manual QA to make sure software team builds new and existing services according to customer expectations.\n\n\n S/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \nTech Product Manager will work with 20 people engineering and QA team to find best ways to increase reliable continuous integration, continuous deployment to enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive scalability, automation, innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning


Director Of Engineering

Director Of Engineering


FineTune Learning


exec

 

engineer

 

exec

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a director of engineering to lead a team of 13 developers. The director of engineering will be the expert in residence around infrastructure scaling, python, docker, database performance and microservices. S/he must have experience working with at least 3 production released software projects/products. S/he should be hands on tech and comfortable solving complex system problems while making sure software team understands clearly what they are building, while refactoring/architecting new and existing services to scale to support 5 million users.\n\n\n S/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \n If the director of engineering desires, one could also manage, mentor, performance review engineers in the team. Director of engineering will also work with 3 tech leads and QA team to find best ways to increase the performance of the development team and enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard. S/he will be essential member of the leadership team to drive company vision and mission while scaling the software for larger audience.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning


Senior QA

Senior QA


FineTune Learning


qa

 

senior

 

qa

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a senior QA for our AP and Pre-AP software product.   We are a fully distributed and international team though 1/3 of us are in Boston Metro area.  S/he will have the opportunity to work on mission critical software that will impact 3-5 million students in 2019.  If you are well versed in various selenium based testing, load testing, smoke testing, test driven development and have worked in QA'ing at least 3 production released software, you are welcome to apply. S/he will be working with our development team, product owners, designers and increase the quality of the software so that we may serve 3 million+ users in 2019.\n\nRequirements:\n\n\n* Proven experience in understanding complex user needs with multiple stakeholders\n\n* 5+ years of QA experience\n\n* 3+ years experience with API testing, UI testing, end to end testing.\n\n* 3+ years experience QA’ing high-availability enterprise software a plus\n\n* 3+ years experience with Databases (SQL or noSQL)\n\n* Experience with Selenium\n\n* Strong Agile Experience\n\n* Experience with continuous integration and test driven development\n\n* Ability to dive deep into technical issues.\n\n* Strong verbal and written communication skills\n\n* Experience in debugging performance issues with javascript and reactjs or other SPA architecture a plus\n\n* Experience with collaborating in github a plus\n\n* Desire to continuously, learn, improve and apply new technologies that will increase operational efficiency and effectiveness\n\n* BS/MS in Computer Science or equivalent a plus\n\n\n\n\nAs we prepare for rapid business growth from here, FineTune Learning is seeking to hire a Senior QA Engineer who have worked in at least 2-3 production released software/web/mobile products.  We are looking for people who have strong motivation to grow startup companies, who is agile and continuously improving themselves while having an opinion for great software components and services with great attention to detail in delivering reliable software that is well tested according to user expectations.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

FineTune Learning


Senior Reactjs Front End Engineer

Senior Reactjs Front End Engineer


FineTune Learning


react

 

front end

 

javascript

 

senior

 

react

 

front end

 

javascript

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
\nFineTune is seeking a senior reactjs/redux front end software engineer for our Pre-AP software product.   S/he will have the opportunity to work on mission critical software that will impact 3-5 million students in 2019.  If you are well versed in various javascript frameworks Angularjs, Emberjs, but particularly Reactjs/Redux and have created at least 3 production released software, you are welcome to apply. S/he will be working with our existing platform and front end code base to refactor and use feature flags to enable software for 9th graders while designing the front end code to be highly modular and optimized for best user experience. We will be hitting several milestones to serve 3 million+ users in 2019.\n\nRequirements:\n\n\n* comfortable with npm packaging/publishing,\n\n* webpack customization and configuration\n\n* experienced in developing for multiple web browsers and mobile for various platforms\n\n* experienced developing for responsive UI \n\n* good handle of computer science\n\n* good handle of event driven software design pattern\n\n* be well versed in object oriented programming\n\n* be well versed in debugging REST API and graphql APIs\n\n* be well versed in debugging using breakpoints, source maps and Chrome developer tools\n\n* be well versed in test driven development\n\n* experience in docker based development environment a plus\n\n\n\n\nS/he should also be comfortable interacting with customer and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features.  \n\nFront end software engineer will work very closely with the designer, business stakeholders, QA and other engineers to deliver features.  You must be well versed in test driven development (we use jest/enzyme/nightwatchjs) and find best ways to increase the speed of delivery while enhancing the quality of our software.\n\nS/he will interface also interface with CTO to continuously drive innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Revl.com


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Revl.com


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nRevl is seeking an experienced machine learning engineer to join our team!\n\nOur smart action cameras have just started rolling off the production line and shipping to customers. In addition to awesome cameras with built-in stabilization, we provide video editing software that helps users find the best moments in hours of video. This is an open-ended challenge: find the interesting moments in videos by processing video, audio, still images, and sensor data. You will have the opportunity to be creative and try out new ideas, as well as push yourself and Revl to the cutting edge of new and exciting solutions in video recognition / auto-editing.\n\nBeing able to turn your ideas into well written, maintainable C++ code that runs on laptops, servers, and mobile devices is a must, because although theoretical solutions to problems can be interesting, we all know the real fun (and value) is in the application of those solutions. If you have a passion for developing complete, unique and powerful ML systems, from a rough idea sketched on a white-board to deployed product, then this is the right opportunity for you.\n\nRevl is like no other startup. Our product revolves around adventure and fun and so does our culture. We're a small team and we work to quickly deliver products to delight our customers.\n\nWe are well funded by several reputable VC's and Angel Investors including Y Combinator, Comcast Ventures, Frog Design Ventures, Luma Pictures, Bill Tai, and Lars Rasmussen. We offer competitive salary, early equity, daily catered lunches, and we work out of a beautiful, commuter friendly office in SOMA.\n\nRequirements:\n\n\n* Strong C++ skills\n\n* A strong, general machine learning background (neural networks, random forest, logistic regression, PCA, etc.)\n\n* Experience prototyping ML models in Python\n\n* Experience interpreting sensor data such as accelerometer, gyro, GPS, etc.\n\n* Strong user experience instincts\n\n* Knowledgeable in Statistics, Math and/or Physics\n\n* Excellent communication skills\n\n* Located in US or Canada\n\n\n\n\nPreferred, but not necessary:\n\n\n* Working knowledge of modern computer vision models (InceptionV3, etc)\n\n* Created at least one large scale ML powered system end-to-end\n\n* Experience writing cross-platform (iOS, Android, and server) C++ code\n\n* Experience creating models from sensor data\n\n* Computer vision expert\n\n* Extensive video editing experience\n\n* Experience implementing models on mobile\n\n* Open source contributions (please provide links)\n\n* iOS and/or Android development experience\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Stardog Union


Senior Machine Learning Software Engineer

Senior Machine Learning Software Engineer


Stardog Union


dev

 

machine learning

 

senior

 

engineer

 

dev

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nStardog is the world's leading Knowledge Graph platform for the Enterprise. Turn data into knowledge faster and easier. Stardog lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology.\n\nWe've been actively working on adding machine learning capabilities to Stardog, and are looking for someone to help us take it to the next level.\n\n\nIf you're interested in natural language processing, deep learning, probabilistic graphical models, and recommender systems, this might be the job you've been dreaming about!\n\nResponsibilities\n\n\n* Research and develop algorithms to analyze large scale (un)structured data\n\n* Design and develop high-performance, data-driven components for our distributed database\n\n* Implement complex data ingestion pipelines\n\n* Deploy and operationalize machine learning models\n\n\n\n\n\nRequirements:\n\n\n* 5+ years programming experience, ideally in Java\n\n* Strong computer science fundamentals, with advanced knowledge of data structures, algorithms, and software design\n\n* Experience on applying machine learning and natural language processing techniques to real world datasets\n\n* Interest in recent scientific developments, with an eye for practical applications\n\n* Knowledge of Vowpal Wabbit, Theano/Keras, GATE/UIMA, Lucene/ElasticSearch, and similar frameworks\n\n\n


See more jobs at Stardog Union

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

AgFlow


Software Engineer Machine Learning Specialist

Software Engineer Machine Learning Specialist


AgFlow


dev

 

machine learning

 

engineer

 

digital nomad

 

dev

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
Full Time: Software Engineer & Machine Learning Specialist at AgFlow at AgFlow in Geneva / Remote


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

TAINA Technology Limited


Machine Learning Software Engineer

Machine Learning Software Engineer


TAINA Technology Limited


dev

 

machine learning

 

engineer

 

digital nomad

 

dev

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nExperienced software developer to further strengthen our handwriting recognition team


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Research Square


Machine Learning Scientist

Machine Learning Scientist


Research Square


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nResearch Square is the leader in ethical author-oriented solutions in the world of academic publishing.  We are home to the American Journal Experts (AJE), which provides solutions that help researchers communicate their work so they can get back to making discoveries.\n\nWe currently are seeking a freelance Machine Learning Scientist to help us improve and maximize our use of TensorFlow for our language services. This will be a project-based contract with the goal of optimizing a sequence-to-sequence TensorFlow model for a natural language application. 


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Knock


Senior Machine Learning Engineer

Senior Machine Learning Engineer


Knock


machine learning

 

senior

 

engineer

 

machine learning

 

senior

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe’re seeking a Senior Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.\n\nAs a Senior Machine Learning Engineer you will:\n\n\n* \n\nDesign, code, train, test, deploy and iterate on large scale machine learning systems.\n\n\n* \n\nDevelop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.\n\n\n* \n\nDesign and build customized learning systems and integrate it with our existing products.\n\n\n* \n\nBuild predictive services to price residential real-estate.\n\n\n* \n\nAssessing the impact of using new data sources on data quality and precision of our price predictions\n\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Elastic


Research Engineer Machine Learning For Elastic

Research Engineer Machine Learning For Elastic


Elastic


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nMachine Learning at Elastic\n\nWith the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future.  And in order to get there, our team is looking to hire an exceptional Research Engineer to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering. \n\nYour role:\n\nAs a Research Engineer - Machine Learning you will be a pivotal part of our Prelert team and will contribute to the further development of our Machine Learning focussed projects by being a subject matter expert and resource to the software design and development process.  \n\nOur Research team at Elastic focuses on developing and applying techniques from Machine Learning, statistics and data mining, including but not limited to Bayesian modelling, counterfactual reasoning, feature learning and data stream processing. Our goal is to build powerful and robust solutions such as anomaly detection, categorisation and recommendation, enabling customers to gain insight from their data.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Osprey Informatics


Machine Learning Computer Vision Developer

Machine Learning Computer Vision Developer


Osprey Informatics


machine learning

 

dev

 

digital nomad

 

machine learning

 

dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for an experienced Machine Learning / Computer Vision Developer to lead the development of our data analysis tooling. You will build, evaluate, and deploy computer vision and machine learning algorithms including object classification, object tracking, object detection, background subtraction and event recognition. You will have the support and collaboration of the rest of the team, however we are looking for this role to lead and direct the future our data analysis tooling. We'd prefer someone on-site however we are open to the right hire provided that at least half of their workday overlaps with 9am to 5pm Mountain Time Zone.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

kCura


Like Machine Learning A.I. Help Us Expand Product's Analytical Features

Like Machine Learning A.I. Help Us Expand Product's Analytical Features


kCura


product manager

 

machine learning

 

non tech

 

exec

 

product manager

 

machine learning

 

non tech

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
\nkCura is a global company with team members who are driven by our customers to build exceptional software for them to use every day. Our product, called Relativity, handles large volumes of data and helps corporations, law firms, and government agencies solve their own unique data problems.\n\n• Work with your team and other stakeholders to define, design, implement, test, document, and deliver quality software products in a fast paced environment utilizing Java, Scala, and other technologies as needed.\n\n• Utilize sound engineering practices to deliver functional, reliable, secure, tested and maintainable software that satisfies stakeholders requirements.\n\n• Work with the team to improve the scalability and performance of existing products.\n\n• Positively contribute to the culture, well-being, and growth of each team member and the company at large by being a helpful and considerate team member and by adhering to the company’s core values.\n\nThe way we work together is centered on our core values of collaborating, communicating, pushing to exceed expectations (even our own), being humble, and having fun while we do it. We enjoy ourselves, give back, and work (and play) hard together. If this sounds like the place for you, check out the details of this position below.\n\nAs a Advanced Software Engineer and member of the Conceptual Analytics team you will share responsibility for the design, development, automated tests and delivery of the company’s core analytics technologies.  You must have a passion for solving problems while delivering reliable, highly scalable, highly performant systems that kCura’s customers use on a daily basis.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Knock


Machine Learning Engineer

Machine Learning Engineer


Knock


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe’re seeking a Machine Learning Engineer to join us in building our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.\n\nAs a Machine Learning Engineer you will:\n\n\n* \n\nDesign, code, train, test, deploy and iterate on large scale machine learning systems.\n\n\n* \n\nDevelop model training platform and reusable data infrastructure components to enable rapid prototyping by our data scientists.\n\n\n* \n\nDesign and build customized learning systems and integrate it with our existing products.\n\n\n* \n\nBuild predictive services to price residential real-estate.\n\n\n* \n\nAssessing the impact of using new data sources on data quality and precision of our price predictions\n\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Affectiva


Machine Learning Scientist

Machine Learning Scientist


Affectiva


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nAffectiva is an MIT Media Lab spin-off focused understanding human emotion. Our vision is that technology needs the ability to sense, adapt and respond to not just commands but also non-verbal signals. We are building artificial emotional intelligence (Emotion AI).\n\nAs you can imagine, such an ambitious vision takes a great team with a strong desire to explore and innovate. We are growing our team to improve and expand our core technologies and help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion.\n\nOur first technology measures human emotion through sensing and analyzing facial expressions. This technology is already being used commercially in a number of different verticals and use cases, and has been released to the public in the form of SDKs so that developers around the world can begin to use it to create a new breed of apps, websites and experiences.\n\n\nThis position is on the Science team, the team tasked with creating and refining Affectiva’s technology. We are a group of individuals with backgrounds in computer vision, machine learning and affective computing.\n\nWe’re looking for the best researchers to join this team. Great candidates will be people who will contribute ideas and want to help shape the future of this space, and can execute ideas effectively and efficiently.\n\nResponsibilities:\n\n\n* Apply supervised and semi-supervised machine learning techniques on a variety of problems using Affectiva’s large dataset of spontaneous real-world face data\n\n* Experiment with deep architectures for the sensing and modeling of emotion\n\n* Prototype new forms of emotion sensing\n\n* Contribute to Affectiva’s core in-market SDK codebase\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Gaggle.Net


Machine Learning Engineer

Machine Learning Engineer


Gaggle.Net


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe protect children and save lives.\n\nOur technology analyzes textual data created by students (chat, email, documents, etc) for the purpose of identifying child abuse, bullying, suicide, and other serious concerns that affect today's youth.\n\nYou will work on a small team to design and implement innovative ways to better solve this problem.\n\nWe have a number of challenges in both the quantity of data we analyze, and the timeframe in which we must make accurate predictions to better allow our 24hr monitoring staff to make decisions on how best to intervene in serious cases.\n\nPut your Machine Learning knowledge to use in a way that can make a real difference in the lives of children.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

SiteZeus


Full Stack Web Developer Big Data Machine Learning

Full Stack Web Developer Big Data Machine Learning


SiteZeus


big data

 

full stack

 

dev

 

web dev

 

big data

 

full stack

 

dev

 

web dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nSiteZeus is a fast-growing startup disrupting the way growing companies select new locations with Predictive Analytics based on big data and machine learning.  We are seeking the best & brightest engineers to join our Product Development team to enhance our award-winning product suite.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Findify


Frontend Developer For Machine Learning Startup

verified

Frontend Developer For Machine Learning Startup


Findify


machine learning

 

front end

 

dev

 

digital nomad

 

machine learning

 

front end

 

dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe’re looking for a Mid / Senior Frontend Developer to join our team and help turn dreams into reality. If you’re always on top of the latest technologies, have a keen eye for design and you love creating scalable frontend architectures (yes it’s a thing!) - read along! :)\n\nOur tech stack: \n\nWe always strive to use the most suitable tool for the job, so our stack is constantly evolving. We write our frontend code in Typescript using ES6 modules. Our frameworks of choice are: Angular 1.5 (yay for multiple transclusion slots!) and React + a simples flux implementation (stateless components ftw!) . We have several applications that are yet to build so you'll have the opportunity to choose the technology that will best fit each project.\n\nWe’re not afraid to challenge our choices, we love open source and above all, we’re a product driven company so technology is at the core of everything we do. You can check out our full stack on StackShare.\n\nOur development culture:\n\nWe are a small team that moves fast and iterates. We do weekly sprints, code reviews, testing, and once your code is submitted it gets pushed to production through our continuous deployment infrastructure (using Jenkins). We put a lot of emphasis on code style, cleanliness and robustness. You will get to work with a dedicated UX designer, and amazing engineers specializing in machine learning and distributed systems.\n\nWhat you can expect from us:\n\nAs an early engineer in a small team, you’ll have the opportunity to make a real impact on the product, company vision and culture. You will get to work with the latest technologies out there, without being bound to any legacy. Have the opportunity to solve real-life problems using machine learning. We will never limit your creativity, never shut down ideas before testing them with customers and we will never be boring! it's going to be an exciting ride!\n\nCompensation\n\nYour annual compensation will be between 20,000 and 42,000 EUR pre-tax ( about $22,500 - $47,000) plus equity, based on your experience, qualifications and location.\n\nIf this sounds like a company you’d love be a part of building, and you’ve got the skill set, please get in touch with your CV and work samples at: [email protected]\n\nAlso, be sure to give us an idea of what kind of person you are in addition to your skills, because cultural fit is as important to us as your front end development abilities!\n\n\nWe’d love to hear from you!


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

a machine learning startup


Full Stack Engineer Kaggle

Full Stack Engineer Kaggle


a machine learning startup


engineer

 

full stack

 

engineer

 

full stack

 
This job post is closed and the position is probably filled. Please do not apply.
\nCome help us create the future of Kaggle and in doing so, help shape the future of data science.\n\nAs background, Kaggle is best known for running machine learning competitions. We have a community of almost 600K data scientists who come to Kaggle to learn, compete, and collaborate on the cutting edge of machine learning to solve business and research problems for organizations like Facebook, NASA, and GE.\n\nIn our next chapter, Kaggle is expanding to become the place where data scientists share code and analysis in a reproducible way. We're building this platform for data science collaboration (the closest analogy is Github for data science) around our thriving community. As part of our small team, you'll be a part of designing and building this platform in its early stages. We don't expect you to know everything coming in, so we'll pair you with mentors who will help you grow and develop your skills.\n\nWe like working remotely: a lot of our team is distributed. We prefer US-based timezones but will hire the right candidate anywhere in the world. If you’re in the San Francisco Bay Area or interested in relocating here, you’ll enjoy our easy-going office culture and all the beauty the Bay Area has to offer.\n\nWhat you'll do\n\n\n* Architect and create new site features, ranging from discussing wireframes to creating the data model and deploying the end result.\n\n* Implement local tooling to facilitate users transferring their analytics between local environments and Kaggle's infrastructure.\n\n* Build features in our current web stack (C#, ASP.NET MVC,  TypeScript, React, SQL Server, and Azure).\n\n* Create and build on our services layer (which includes Linux,  Docker, and Python for running user code).\n\n* Measure, optimize, and scale Kaggle’s infrastructure.\n\n* Ship every day.\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

GitHub


Software Engineer Machine Learning

Software Engineer Machine Learning


GitHub


dev

 

machine learning

 

engineer

 

digital nomad

 

dev

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
Full Time: Software Engineer - Machine Learning at GitHub in SF, US, or Remote


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

HyperScience


Machine Learning Engineer

Machine Learning Engineer


HyperScience


machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
\nOur mission is to build a general purpose AI platform that lets other developers easily build machine learning applications. We believe AI is destined to be the biggest event in the history of human labor since the industrial revolution. There are already many applications, ranging from self-driving cars to medical software that diagnoses patients, where AI gets the job done faster, better and cheaper. However, HyperScience will make that kind of AI available to everyone.\n\nWorking at HyperScience, you will advance the state of the art by developing novel machine learning approaches, you will build self-configuring, self-healing, self-tuning distributed systems and you will deliver developer-centric tools you’d love using yourself. Additionally, you’ll see your code matter by working directly with customers.\n\nDespite still being in stealth, we have paying customers who are already using HyperScience in production. The team consists exclusively of engineers who have experience working on machine learning and internet-scale apps. We’re backed by top tier investors.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Sway Ops


VP Machine Learning

VP Machine Learning


Sway Ops


golang

 

machine learning

 

golang

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
New York, United States - Machine learning engineers must adapt quickly and be able to use all avenues available to perform complex tasks. You will be in charge of world class team of data scientists gathered from notable groups around the globe to solve difficult problems in social in...


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

ING


Machine Learning Expert

verified

Machine Learning Expert


ING


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nING is looking for a Data Scientist. Location Amsterdam.\n\n\nPassionate about your field of work: Data Science. Key developments in the Data Science area. Experimenting with new algorithms, packages and tools. Think Forward!\n\n\nIs that you? Please read further:\n\n\n* Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. As a creative and curious Data Scientist, you’re looking forward to solve a wide variety of real-world business problems. From your thorough understanding of the latest algorithms and tooling, you’re able to see where ING can further improve using  Big Data. And you have the programming skills to show the value in a pilot/experiment.\n\n* You are experienced in the approach to transform data to added value for customers. You’re always thinking one step ahead, for example in advising about the best way of implementation. You are able to look at things from a different perspective and are entrepreneurial to make original solutions work in real-life.  Next to creative, you are also persistent. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.\n\n*  You have solid communication skills that enable you to work together with many different parties throughout our organization. Your enthusiasm and passion is contagious, mobilizing people to capture the tremendous value that Data Science brings to customers of ING.\n\n*  You like working in cross-functional teams to realize an ambitious goal. Asking for help to the other top Data Scientists in the team, but also helping them out by sharing your knowledge and capabilities with them. When needed, you are able and willing to guide junior Data Scientists and interns in their work.\n\n\n\n\nWe only hire people with exceptional talents and capabilities!\n\n\nAs a Data Scientist, you have a deep understanding and experience with:\n\n\n* Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc.\n\n* Programming Languages: Python, R. Scala is a pre\n\n* Tools: Spark, Hadoop (ecosystem), MapReduce\n\n* Database handling: SQL, Hive. Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases\n\n* Visualisation tools: D3.js, Shiny, Angular\n\n\n\n\nYour background:\n\n\n* MSc or PhD with excellent academic results in the field of Computer Science/Machine Learning and/or Mathematics/Statistics\n\n* Experience in the Predictive Analytics work field\n\n* Fluent in written and spoken English. Although Dutch is a pre, it is not necessary.\n\n* Experience in working in an Agile/Scrum way is a pre\n\n\n\n\nCompetencies and skills:\n\n\n* Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer\n\n* Willingness to learn: open to feedback, develops on the technical and the interpersonal level\n\n* Teamplayer: strikes effective balance between independence and acting in the interest of the team\n\n* Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs\n\n* Strong communication skills: written and spoken English need to be convincing\n\n* Entrepreneurial: takes up responsibility and makes it happen\n\n* Creative: thinks out of the box\n\n* Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example\n\n\n\n\nWe offer:\n\n\n* Ambition to become the best Data Scientist team (in Banking).\n\n* Real Data Scientist colleagues. Data Diva-like behavior is not our cup of tea.\n\n* Great salary and other terms\n\n* National or Global career possibilities\n\n* Start-up spirit\n\n* Great mix in research, strategic, operational & enterpreneurial assigments.\n\n\n\nIn need of further information or ready to apply?\nCan you identify with this profile? Then apply and become a Data Scientist at ING.  Do you have any questions about this position? Please contact Rob van Elburg, Global  IT Recruiter, via +31-6-20210769 or [email protected]


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Buzz


Machine Learning Interviewer

Machine Learning Interviewer


Buzz


machine learning

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
\nBuzz is a disruptive hiring platform that utilizes professional individuals as recruiters to screen, evaluate, and provide top quality candidates for employers in the rapidly growing global HR industry. We are looking for senior individual join our platform to phone screen other Candidates. This is a temporary position, once you perform an interview we will pay you immediately. We require that you have at least two years of working experience in the technology and fluent in communication. \n\nPlease apply directly at Buzz Apply


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Real Audience AB


Golang Developer with Knowledge Within Machine Learning

Golang Developer with Knowledge Within Machine Learning


Real Audience AB


golang

 

dev

 

machine learning

 

digital nomad

 

golang

 

dev

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
Remote work from Poland, Poland - Real Audience is a Swedish tech startup within the Artificial Intelligence / Big Data field, focusing on collecting and storing specific site data, do calculations on the data and help our customers to take actions based on the computed predictions.Now we ...


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The Learning Experience


Microstrategy Consultant Wanted

Microstrategy Consultant Wanted


The Learning Experience


consulting

 

consulting

 
This job post is closed and the position is probably filled. Please do not apply.
\nWe are looking for a talented and passionate MicroStrategy expert to help us build and maintain our Business Intelligence infrastructure. \n\nThe contractor does not need to be local to the Boca Raton area and can work on a per-project or hourly basis from anywhere.  We will pay for travel expenses should that be necessary.\n\nThe Learning Experience is a family-owned national franchise company with a fun and rewarding culture.  We try to make use of the latest technology wherever we can.


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Enlitic


Machine Learning


San Francisco

Machine Learning


Enlitic

San Francisco

admin

 

machine learning

 

admin

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
As one of Enlitic's first 20 employees, we will be looking for you to contribute all across the company. Therefore, this role is suitable for curious, open-minded, collaborative, outcome-focused people. Because we use machine learning as the foundation of everything we do, you need to be comfortable with the idea of using data to drive decision-making. (You don't, however, have to be a machine learning expert yourself — and you don't need any background in medicine.) We are looking for the kinds of people that love to learn new things, and to design new things.\n\nYou should expect to spend time talking to medical experts to understand their needs, discussing infrastructure issues with lawyers and system administrators, studying the overall healthcare technology landscape, learning about the capabilities and limitations of machine learning algorithms from your colleagues, proposing creative solutions to complex holistic problems, designing better organizational processes to help us come together to solve these problems, writing down explanations of these solutions for both our internal staff and external partners, and so forth.\n\nWe expect our data scientists to have an in-depth understanding of at least one key area that is relevant to us — examples include: deep learning, convex optimization, linear algebra, distributed system design, GPU programming, computer vision, healthcare software, large-scale storage systems, and so forth. You also need to have a broad understanding of a range of practical data science skills, such as programming in Python, JavaScript or C++, machine learning using algorithms such as random forest and regularized regression, algorithm design and usage, and software engineering. \n\n#Salary\n$110,000 — $190,000\n \n\n#Equity\n0.5 - 1.0\n\n\n#Location\nSan Francisco


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

SensorHound Innovations


Machine Learning Engineer


West Lafayette

Machine Learning Engineer


SensorHound Innovations

West Lafayette

machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
SensorHound Innovations (www.sensorhound.com) is looking for professionals and students (graduate/exceptional undergraduate) interested in developing innovative software for the Internet of Things. SensorHound, a startup company located in the Purdue Research Park, is developing advanced debugging tools for a reliable and secure Internet of Things. We are a small and dedicated team looking for self-motivated individuals interested in working in a startup environment. Candidates should have expertise in machine learning and data mining, experience with applying machine learning algorithms and using tools such as Weka and libsvm.\n \n\n#Salary\n$50,000 — $60,000\n \n\n#Equity\n1.0 - 3.0\n\n\n#Location\nWest Lafayette


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Visit SensorHound Innovations's website

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

Nookster


Machine Learning Engineer


Pasadena, CA

Machine Learning Engineer


Nookster

Pasadena, CA

machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development.\n\nAbility to work fast with teams in an open-table company culture is important.\n\nMinimum Requirements:\n* PhD, M.Sc. in Computer Science, Electrical Engineering or Physics\n* High proficiency in C++.\n* Experience with data-driven statistical or machine learning methods.\n* Enjoys a highly collaborative environment with minimal supervision.\n\nNice to have:\n* Experience with automatic speech recognition and/or natural language processing systems.\n* Familiarity with linguistic phonetics.\n* Knowledge of basic digital signal processing techniques for audio.\n* Experience with software engineering best practices including unit testing, continuous integration, and source control.\n* Proficiency in Java/Android, Objective C/iOS, javascript, C#/Unity3D.\n\nMore info can be found here: http://oben.me/careers/machine-learning-engineer/ \n\n#Salary\n$120,000 — $200,000\n \n\n#Equity\n0.1 - 0.2\n\n\n#Location\nPasadena, CA


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

VerAxis


Machine Learning


Palo Alto

Machine Learning


VerAxis

Palo Alto

machine learning

 

engineer

 

machine learning

 

engineer

 
This job post is closed and the position is probably filled. Please do not apply.
Requirements:\n\n- You must be an outstanding developer able to deliver projects on time, with an instinct for prioritizing the development of features meeting business objectives.\n\n- You should be widely read in the field of machine learning and have practical experience in developing high quality applications.\n\n- You are capable of research level work in categorization and pattern recognition with a focus on predictive learning.\n\nAdvantageous:\n\n- You code should be beautiful and elegantly efficient.\n- You can manage an engineering team and help hire rock outstanding developers.\n\nAbout Us:\n\nWe think the future of AI is in games that learn about their players, and it's applications in human talent management. We believe games provide an evolutionary equivalence akin to the emergence of spatial movement in natural evolution. \n\nMovement led to organisms having complex social interactions, both competitive and collaborative and the eventual emergence of the human brain. \n\n#Salary\n$90,000 — $130,000\n \n\n#Equity\n0.5 - 1.0\n\n\n#Location\nPalo Alto


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Visit VerAxis's website

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.

COGXIO


Machine Learning


Bangalore

Machine Learning


COGXIO

Bangalore

admin

 

machine learning

 

admin

 

machine learning

 
This job post is closed and the position is probably filled. Please do not apply.
Looking for experienced person who is good in Python/C++/R/Java, Probability and Statistics,Applied Math + Algorithms,Distributed Computing,Expertise in Unix Tools,Hadoop, advanced signal processing techniques, image processing, and Google Map-Reduce etc; \nNeed to work human relationship based algorithm, facial recognition, relationship based wearable technologies. \n\n#Salary\n$300,000\n \n\n#Equity\n1.0 - 5.0\n\n\n#Location\nBangalore


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
FeedbackIf you find a bug, or have feedback, write it here. Please no job applications in here, click Apply instead! If you want to advertise, we do not do CPA/aff/perf ads ever.Thanks for the message! We will get back to you soon.

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