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Loadsmart

 This job is getting a pretty high amount of applications right now (14% of viewers clicked Apply)


Loadsmart is hiring a Remote Senior Machine Learning Engineer

Who we are:\nWe are industry veterans and data-scientists using innovative technology to fearlessly reinvent the future of freight. As the β€˜nerds of logistics’, we seek intelligence in data to solve deep rooted inefficiencies in the industry. We give shippers, brokers and carriers access to our data connections that link supply and demand and a suite of award-winning solutions to strike the perfect balance of cost and service. We’re creating a more efficient and environmentally responsible way to move more with less.\n\nWho you are:\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry.Β  You know how to take ideas, optimize them, and push it into production code using Python. You have experience putting your machine learning models in production, and know your way around databases and ETLs. You like working in a hands-on environment and enjoy teamwork.\n\nWhere we are:Β \nLoadsmart was founded in New York and is currently headquartered in Chicago, IL. Our teams operate remotely from different parts of the United States as well as in several locations across Latin America.\n\nThe role:\nWe are looking for a Sr. Machine Learning Engineer to work remotely from Lat-Am. You'll join us in obsessing about transformational technology as part of one of our Data Science teams. You should have experience and proven ability to analyze data, create machine learning models, implement APIs to serve these models, and write ETLs and data pipelines to push these models to production. Our technology stack on the backend is primarily on top of Docker, Kubernetes and Python.\n\n\nBecause we are an international company, we only accept resumes in English.\nΒ \nAt Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.\n\n#LI-RemoteΒ \n


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NannyML


verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)
 
πŸ’° $49k - $78k

data

 

product

 

startup

This job post is closed and the position is probably filled. Please do not apply.
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time β€” we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas β€” and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n* Salary: 54,000 - 66,000 EUR/year\n \n\n#Salary and compensation\n$49,000 — $78,000/year\n\n\n#Location\nEurope, Africa or the Middle East (Utc-2 to Utc+3)


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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.

NannyML


verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)
 
πŸ’° $49k - $78k

python

 

infrastructure

 

dev

This job post is closed and the position is probably filled. Please do not apply.
**About Us**\n\nNannyML is an early stage venture funded start-up. At NannyML we build enterprise software for supervising and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.\n\n\n\n**About the Role**\n\nWe are looking for a Senior Software Engineer to architect and build a great product. You will be working closely with the founding team. Our expertise is in leveraging business information, exploiting data and prototyping data solutions. Your expertise comes in to complement the team: you will be responsible for product development from the software and data engineering side: from designing engineering processes, brainstorming with the founders, through prototyping and first implementation to architectural choices and frameworks. You will have the ownership and the decision making power to shape everything that lies between product and research. As we grow NannyML we expect you to grow with us. We envision your path may grow your position into VP of engineering or similar.\n\nWe are an early stage startup, and so you will wear many hats and be expected to do what's needed for the company to succeed, including working on things that you don't know anything about and at weird times from time to time β€” we all are. You will have the opportunity to get meaningfully involved in the areas of product, engineering, hiring and people management among others.\n\nWe value freedom with responsibility, transparency and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading and meeting new people with different world-views. We value trying new things, and appreciate that from time to time things may break in the process. Working at NannyML you will have full autonomy to make impactful decisions and prioritise and organise your work the way you see fit.\n\n**Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-2 to UTC+3) or you are not fully willing to relocate immediately. This is a fully remote position, however we will be working with you very closely, so significant work hours overlap is necessary. You also need to be able to fly to Belgium or Portugal as needed.**\n\nExperience with early stage product is absolutely necessary. If you don't have such experience please do not apply. Please bear in mind that this is not a web development position, while web development might be a small part of what you do, it is not going to be your main focus.\n\n**Responsibilities**\n\n* Integrate and productionize Data Drift detection and prediction algorithms\n* Develop and deliver CI/CD, version control and testing frameworks\n* Brainstorm new features and shape the product road map together with the founding team and clients\n* Architect, design, and hands-on build the software\n* Produce clean, well-documented and efficient code\n* Handle automation, infrastructure and orchestration\n* Help with implementing NannyML at clients and with clients on-boarding\n\n**Requirements**\n\n**Basic**\n\n* You significantly contributed to building an early stage product\n* You have experience working with data (such as ML systems, big data or building data heavy products like BI tools)\n* Great communication skills in English - both oral and written\n* You are extremely proactive, independent and comfortable with proposing new ideas β€” and holding your ground when you believe you are right.\n* Strong experience with Python in back-end development, infrastructure or data engineering\n* 5+ years working as a Software Engineer or in a similar role\n* You live in or are willing and able to relocate to EU time zones\n\n**Bonus points**\n\n* You were the first engineer or the lead engineer in a venture funded startup\n* Experience with data engineering tools and containerization\n* Experience using system monitoring tools and automated testing frameworks\n* Experience building enterprise grade software\n* Significant experience with on-premise deployment and integration with enterprise IT systems.\n* Basic familiarity with Machine Learning\n* Masters degree in a STEM related field\n\n**Benefits**\n\n* Fully Remote Working Environment\n* 23+ Days of Planned Leave Annually\n* Paid sick leave and private healthcare plan\n* We support paid parental leave\n* Home office, work and well-being allowances (for yoga, gym etc.) and other nice benefits\n* Stock option plan\n \n\n#Salary and compensation\n$49,000 — $78,000/year\n\n\n#Location\nEurope, Africa or the Middle East (Utc-2 to Utc+3)


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neuronbits


verified closed
🌏 Worldwide

artificial intelligence

 

full stack software development

 

full stack

This job post is closed and the position is probably filled. Please do not apply.
[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- € 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior Software Engineer you will work alongside with other engineers in the team, the DevOps Architect and the Software Team Lead to build an awesome, highly usable, performant and scalable frontend/backend that brings the best user experience to our customers.\n\n\n**Primary responsibilities:**\n\n- Collaborate with the Product Owner and Software Team Lead to refine product requirements and build solid software specifications.\n\n- Support and grow Neuronbits applications and platforms by enhancing existing or developing new components which can be reused across of all our products.\n\n- Support a cross-functional team in which frontend and backend activities can be shared among all members.\n\n- Create and execute test cases (Unit Test and End to End).\n\n- Support deployment of new releases to multiple customers worldwide.\n\n\n**Ideally, you’ll have:**\n\n- Good communicator, good documentation skills, team player.\n\n- Self-motivated, self-disciplined and result-oriented\n\n- Strong problem solving and troubleshooting skills\n\n- BS or MS degree in Computer Science or related field.\n\n- 10+ years of experience in a similar role\n\n- Passion for quality development.\n\n- Knowledge of best practices for the full sw development lifecycle, including agile, coding standards, source control management, build processes, testing, release management and operations\n\n- Experience with web UI architecture, UX design and application development.\n\n- Solid knowledge of JavaScript, JavaScript Framework, TypeScript and HTML/CSS\n\n- Experience with React, Redux.\n\n- UnitTest (e.g. Karma, Jasmine, etc...)\n\n- Experience with Python – strong Java/C++ developers willing to jump to Python will also be considered.\n\n- Experienced with python-based web frameworks, such as Django or Flask\n\n- Experience with MySQL, ORM (e.g. SQLAlchemy)\n\n- Experience with REST/API \n\n#Salary and compensation\n50k - 70k / year/year\n\n\n#Location\n🌏 Worldwide


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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.

neuronbits


verified closed
🌏 Worldwide

nlp

 

artificial intelligence

 

dev

This job post is closed and the position is probably filled. Please do not apply.
[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- € 50k - 70k / year\n- 25 days paid holidays\n\n\n**Job description**\n\nAs a Senior NLP (Natural Lanague Processing) engineer at Nueronbits you will be responsible for research and development of software which will produce analytics over hundreds of thousands of documents each day, all in real-time. You will be working within a skilled development team, with experts in languages such as Python, C++ and Java, also you will also be working closely with our Data Science team.\n\n\n**Primary responsibilities:**\n\n- Design and developing scalable Machine Learning & AI solutions for processing big amounts of textual data.\n\n- Handle multiple sources of data and effective data manipulation, automating it where possible.\n\n- Research state-of-the-art NLP models.\n\n- Implement NLP models and ensure that they will work with low latency and high accuracy in real-time.\n\n- Write and maintain tools that help to create, deploy, evaluate, and monitor ML models in an effective manner.\n\n\n**Ideally, you’ll have:**\n\n- Degree in Computer Science, Engineering or a related subject.\n\n- Good knowledge of Natural Language Processing techniques and models.\n\n- Experience designing and implementing Neural Networks.\n\n- Experience working with TensorFlow / Keras or similar tools.\n\n- Adaptable and willing to learn new technologies independently.\n\n- Good documentation and communication skills. \n\n#Salary and compensation\n50k - 70k / year/year\n\n\n#Location\n🌏 Worldwide


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Iterative


verified closed
🌏 Worldwide

open source

 

python

 

dev tools

 

dvc

This job post is closed and the position is probably filled. Please do not apply.
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n - Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\n#Salary and compensation\n$1/year\n\n\n#Location\n🌏 Worldwide


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Netdata Inc.


closed
UTC -3 to UTC +5

deep learning

 

statistical models

 
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 and compensation\n$120,000/year\n\n\n#Location\nUTC -3 to UTC +5


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Synergy Sports Technology


closed

c#

 

c sharp

 

mongodb

 

nosql

This job post is closed and the position is probably filled. Please do not apply.
Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks a talented Software Engineer to join our team on a contracting basis.\n\nThis position offers a tremendous opportunity to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 college, professional, and international teams. Our systems are highly complex and contains petabytes of data and video requiring extremely talented engineers to maintain scale and efficiency of its products.\n\nAs a member of the Synergy team, its engineering team will contribute to the ongoing development of Synergy’s revolutionary online sports data and video delivery solutions. Building applications such as:\n* Client Analytic Tools\n* Video Editing and Capture Tools\n* Data Logging Tools\n* Operational Game, Data and Video Pipeline Tools\n* Backend Data and Video Platforms\n\nSynergy’s work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in conversational English. Synergy development staff work in a deadline-oriented, demanding, non-standard environment in which personal initiative and a strong work ethic are rewarded. Good communication skills, self-motivation, and the ability to work effectively with minimal supervision are crucial. Nonstandard working hours may be required, as Synergy operates on a 24x7 system for clients, with associated deadlines and requirements. Pay rate is dependent on experience.\n\n**Information for all Positions:**\n* All Positions will last for roughly a year with some engineers lasting even longer if they are talented, we will keep them for future projects.\n* Engineers should be available for phone calls M-F from 7am to 10am Pacific Time zone. There will usually be 1 or 2 phone calls each week that are 30 to 90 minutes each.\n* All other work hours availability is up to the engineer to work when it is a best fit and balance for them to communicate with their team and their personal commitments outside of work.\n* Working an average of 40 hours per week is expected except in rare or temporary circumstances. Each week can be flexible and up to the engineer as to when and how much they work per day. It is ok to work heavier and lighter weeks if desired based upon the engineer’s preference of when and how to work. But a preference is to average 40 hours per week.\n* No travel is required\n\n**Team Objectives:**\n* A candidate joining the Data Platform team can expect to work on the following types of projects:\n* Creating internal and external APIs to support both data and video\n* Building complex data models supporting the business rules of sports\n* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure\n* Refactoring code to a .NET Core environment\n* Scaling out current systems to support new sports\n* Building build and test automation systems\n* Building complex reporting data structures for analytical systems\n\n**Required Skillsets:**\n* SQL or NoSQL database (MongoDB Preferred)\n* C# (Latest version with a preference to .NET Core)


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LangAware


closed
This job post is closed and the position is probably filled. Please do not apply.
\nOur job is to help with a preliminary diagnosis of Dementia, with emphasis on Alzheimers Disease. We focus on helping healthcare experts, pharmaceutical companies and policymakers making informed decisions regarding patients and their cognitive status. We are a tech-based startup that focuses on data science, machine learning, and B2B solutions.\n\n\nRole\nAs a Machine Learning Software Engineer, you help design, develop and deploy multiple features for the services offered. Leveraging your expertise to help implement a complex product while ensuring high-quality solutions and performance.\n\n\nResponsibilities\n * Design product solutions according to the needs of the customer (e.g. clinicians, pharma industries, policymakers, etc.)\n * Design and implement Machine Learning models for text and audio classification.\n * Experiment with new features and representations that will enhance the performance of the deployed solutions\n * Automate the experimentation and model deployment processes\n * Predict the future, like modeling whether a patient is likely to exhibit cognitive decline.\n * Deploy the models and services offered while ensuring the scalability and robustness of the solutions\n * Be proficient with MLOps best practices\n * Personalize the end users experience\n * Design and create insightful dashboards and reports for the end-users.\n * Develop business-relevant conclusions from data\n * Work with various stakeholders with different backgrounds (researchers, UX professionals, designers, etc)\n \n\n\nBenefits\n\n * Bucketfuls of challenging problems to solve, so hopefully that's your thing!\n * One of the best learning experiences of your life. You'll get to work with extremely smart and capable people, with interdisciplinary background\n * Very competitive salary\n * Choosing your own working conditions is one of our strongest beliefs\n \n


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The Meet Group


closed
This job post is closed and the position is probably filled. Please do not apply.
By leveraging cutting-edge technologies, innovative product design, and advancements in machine learning and artificial intelligence capabilities, The Meet Group strives to maintain its position as a personal connection leader. Our team's goal is to create a truly personalized user experience while fostering additional business opportunities and operational efficiencies.\n\nAs a talented senior-level Machine Learning Engineer, you love the challenge of solving real-world problems using the latest techniques and tools that bring your models to life. You have experience and are fulfilled by teaching and guiding others. You learn and adapt quickly and can use every tool at your disposal--software, algorithms, statistical models, and beyond--to thoroughly understand and solve challenging problems. You think about modeling considerations in the context of not only implementation but, more importantly, runtime. You appreciate the difference between explaining and fitting statistical models, the importance of useful metrics, and the tradeoff between exploration and exploitation.\n\n\n\n\nAs a Senior Machine Learning Engineer on our Machine Learning team, you will be:\n\n\n\n\n* Developing, testing, and deploying machine learning algorithms to support and improve business processes.\n\n* Creating and maintaining a framework for deploying machine learning algorithms.\n\n* Building applications to implement, track, and monitor models, ensuring the accuracy of deployed algorithms on an ongoing basis.\n\n* Engineering ML-based solutions and algorithms to meet the needs of various TMG business units.\n\n* Conducting end-to-end analysis, including data gathering from internal and external sources; specifying requirements; processing, compiling, and validating data; and ensuring deliverables are met.\n\n* Collaborating with other technology and business teams to build creative and viable solutions.\n\n* Working hand-in-hand with Machine Learning Software Engineers to ensure a consistent and reliable ML pipeline.\n\n\n\n\n\n\n\n\n\nMachine Learning Technology Experience:\n\n\n* TensorFlow\n\n* Keras\n\n* Scikit\n\n* SageMaker\n\n\n\n\n\n\nGeneral Technology Experience:\n\n\n* Python\n\n* S3\n\n* SQL (Redshift/Athena)\n\n* RabbitMQ\n\n* Kafka\n\n* Comfortable with ssh, bash, and linux\n\n\n\n\n\n\n\nAs part of the team, you'll enjoy:\n\n\n\n\n* Tremendous opportunity to solve some of the industry’s most important challenges\n\n* Working with an extraordinary team of smart, creative, fun and highly motivated people\n\n* Comprehensive health coverage, competitive salary, 401(k) match\n\n* Extensive PTO plan and flexible working hours\n\n\n\n\n\n\n\n\nThe Meet Group is a portfolio of mobile social entertainment apps designed to meet the universal need for human connection. We leverage a powerful live-streaming video platform, empowering our global community to forge meaningful connections. Our primary apps, MeetMe®, LOVOO®, Skout®, Tagged®, and GROWLr, entertain millions of mobile daily active users, generating untold numbers of casual chats, friendships, dates, and marriages. Our apps, available on iPhone, iPad, and Android in multiple languages, combine product innovation with sophisticated data science to both entertain and connect our audience. The Meet Group has a diversified revenue mix consisting of in-app purchases, subscription, and advertising, and we have offices in New Hope, Philadelphia, San Francisco, Dresden, and Berlin. For more information, visit themeetgroup.com, and follow us on Facebook, Twitter or LinkedIn.\n\nThe Meet Group is an equal opportunity employer and a participating employer of Everify. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital, veteran, or disability status


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Insight Timer

 This job is getting a pretty high amount of applications right now (11% of viewers clicked Apply)

closed
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\nWe are the world's largest meditation community of 18 million people, from 120 countries speaking 50+ languages. We publish 60,000 free guided meditations and music tracks by 8,000 meditation teachers and musicians from around the world.\nWe have been featured by TIME, Forbes, The New York Times and Vogue, and our apps have picked up the Editors Choice award by Google, and App of the Day by Apple on multiple occasions throughout the world.\nThe Role\nMore time is spent on Insight Timer than all other meditation apps combined. Data is one of our key competitive advantages as we have more variety and more depth than any other meditation app. This is a unique opportunity to be an integral part of building the nascent Data Science function at Insight Timer. We are hiring Machine Learning engineers, Data Scientists, Data Engineers and Research Scientists who are passionate about using data, ML and AI to better understand users and to offer new products and experiences that can help improve their lives.\nAs a Senior Machine Learning Engineer you will be owning our entire ML pipeline from ideation to final implementation via countless iterations and improvements. You will have the opportunity to develop a cutting-edge recommendation engine using deep neural networks and modern wide-and-deep recommendation frameworks. You will be supported by Data Engineers, Feature Engineers, and Data Scientists to ensure that your models are powered with high-impact, quick data.\nThe team includes ex-Google and ex-Atlassian employees and is advised by the former Head of Data Science at LinkedIn. You will work cross functionally and collaborate with Engineers, Data Scientists and Product Managers to bring your insights and ideas to life.\nWhat youll do:\n * Implement cutting-edge ML technology to create the best recommendation system in the wellbeing/meditation space\n * Scope, design, create, deploy and tune ML models to improve key metrics that drive business value\n * Work closely with our Data Scientists to incorporate new features and insights that may improve our ML models\n * Own the end-to-end data pipeline with support from our data engineers and feature engineers to ensure seamless integration between our datasets, our ML models and the end-user APIs\n \n\n\nBenefits\n\nOur team is a global bunch of conscious creators who are passionate about building products that make a difference. Like most of the world, we've transitioned to working from home and were working hard to keep our team connected. We host team meditations, focus on our wellbeing, incorporate flexibility into our work week and celebrate our successes along the way. If your application matches what we are looking for we will be in touch.


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eyeo


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\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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Knock.com


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\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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Findify


closed

scala

 
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\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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Innovation Research Labs


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\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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Selerity


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\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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COMPAREX USA


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\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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Revl.com


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\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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Stardog Union


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\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


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Knock


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\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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