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LangAware

 This job is getting a relatively high amount of applications currently (11% of viewers clicked Apply)

Senior Machine Learning Engineer  This job is getting a relatively high amount of applications currently (11% of viewers clicked Apply)


LangAware


senior

 

senior

 

LangAware is hiring a Remote Senior Machine Learning Engineer

\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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Previous Remote Engineer + Machine Learning Jobs

NannyML


This position is a Remote OK original posting verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)

Senior Software Engineer


NannyML

Europe, Africa or the Middle East (Utc-2 to Utc+3) Originally posted on Remote OK

data

 

product

 

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 — 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 — 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)


See more jobs at NannyML

# 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.

Ampcontrol.io


This position is a Remote OK original posting closed
United States, Canada, North America, EU

Software Engineer


Ampcontrol.io

United States, Canada, North America, EUOriginally posted on Remote OK

python

 

flask

 

rest api

 

python

 

flask

 

rest api

 
This job post is closed and the position is probably filled. Please do not apply.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, an AI-powered software for electric vehicle (EV) charging.\n\nWe're team of engineers and energy experts, building the new way of EV charging. We help companies to install more charging stations for electric vehicles and to build intelligent electric fleet systems. Our cloud-software is used around the world and has received major industry prizes. We're based in Europe and in the U.S. and are venture backed with leading investors from around the world. We are a remote-first team with current members in Berlin, New York and other locations in Europe.\n\n([link to website](https://www.ampcontrol.io/))\n\n\n[→ click to see all jobs ](https://www.notion.so/Open-Jobs-at-Ampcontrol-io-e2879a73ba344daea679556a7391fcaf)\n\n\n## 🌎 Our Mission\n\nWe're on a mission to help the transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our backend system, including the core optimization system and our customer facing APIs\n- Develop our Python3/Flask API further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n- Work very closely with other developers, data scientists, product management and sales\n- Contribute to the improvement of our software architecture and development process\n- Keep in touch with new and upcoming technologies and be eager to offer new solutions\n\n## ⭐ You have\n\n- More than 2 years of professional experience in software development\n- Solid experience in Python programming\n- Experience in at least one cloud computing platform\n- Experience in SQL\n- Working knowledge of advanced logging, monitoring, metrics and alerting\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Comfortable working in remote environments\n- Motivation to work on electric vehicles and sustainability\n\n## 📚You're willing to learn about\n\n- IoT Hubs and IoT protocols\n- NoSQL and time-series databases\n- Docker and Kubernetes\n- The electric vehicle charging domain\n- Working with and transforming code written by data scientists\n\n\n\n#Location\nUnited States, Canada, North America, EU


See more jobs at Ampcontrol.io

# 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


This position is a Remote OK original posting verified closed
Europe, Africa or the Middle East (Utc-2 to Utc+3)

Senior Software Engineer


NannyML

Europe, Africa or the Middle East (Utc-2 to Utc+3)Originally posted on Remote OK

python

 

infrastructure

 

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 — 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 — 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)


See more jobs at NannyML

# 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.

Visuary


This position is a Remote OK original posting closed
🌏 Worldwide

Software Engineer


Visuary

🌏 WorldwideOriginally posted on Remote OK

fullstack

 

dev

 

fullstack

 

dev

 
This job post is closed and the position is probably filled. Please do not apply.
VISUARY (visuary.fr) is a Paris based start-up aiming to make the personalization of new homes accessible to everyone.\n\nFor this, we are developing a platform that allows buyers to view and personalize their accommodation online.\n\nWe have recently raised funds and are developing our business.\n\nWe work fully remote.\n\nYou will join a dynamic and international team for a mission where you will have an impact. We are looking for autonomous and qualified people, wishing to take part in the adventure and experience the growth of the company.\n\n\nWhat you would be working on:\nConverting DWG/DXF floorplans into our proprietary data format for web visualization and editing. The first step consists of wall detection from vector data in separate layers that contain only wall data. This task implies some geometry/math and data architecture challenges and maybe some machine learning in the long term.\nExample inputs: (only floor plans not facades) https://dwgmodels.com/1034-modern-house.html\nOutput: A JSON object where walls are represented as a set of connected node and items have position, size and type\n\n\nRequired Skills:\n\n- Math and geometry skills\n\n- Machine learning and AI experience appreciated\n\n- Experience in building robust web applications\n\n- Autonomus and proactive (we work remote)\n\n- Fluent in oral and written English\n\n- Full stack experience appreciated\n\n- Familiar with Git\n\n\n\nWe are a startup with ambition, and therefore flexible on working conditions but demanding on the quality of the code.\n\nDaily meetings at 2pm UTC.\n\nIf you are interested, please tell me about how you would proceed to fulfill the mission that is described when you apply. \n\nThere will be technical tests. \n\n#Salary and compensation\n$30,000 — $60,000/year\n\n\n#Location\n🌏 Worldwide


See more jobs at Visuary

# 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


This position is a Remote OK original posting verified closed
🌏 Worldwide

Senior Software Engineer


neuronbits

🌏 WorldwideOriginally posted on Remote OK

artificial intelligence

 

full stack software development

 

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


This position is a Remote OK original posting verified closed
🌏 Worldwide

Machine Learning Engineer


neuronbits

🌏 WorldwideOriginally posted on Remote OK

artificial intelligence

 

artificial intelligence

 
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- € 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 and compensation\n40k - 60k / year/year\n\n\n#Location\n🌏 Worldwide


See more jobs at neuronbits

# 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


This position is a Remote OK original posting verified closed
🌏 Worldwide

Senior NLP Software Engineer


neuronbits

🌏 WorldwideOriginally posted on Remote OK

nlp

 

artificial intelligence

 

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


See more jobs at neuronbits

# 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.
InReach is changing how VC in Europe works, for good. Through data, software and Machine Learning, we are building an in-house platform to help us find, reach-out to and invest in early-stage European startups, regardless of the city or country they’re based in.\n\n\n\nWe are looking for a machine learning engineer to lead in the continued development of InReach’s machine learning capabilities. This involves cleaning / wrangling / merging / processing the data on companies and founders from across Europe, building algorithms to find new opportunities, and the pipelines for continuous improvement.\n\n\n\nIt is important to us that candidates be passionate about helping entrepreneurs and startups. This is our bread-and-butter and we want you to be involved.\n\n\n\nThis is a remote-first role, whether you're in the office in London or working remotely, so we are looking for someone with excellent written and spoken communication skills. InReach is a remote-first employer and we are looking to this hire to help us become an exceptional place to work for remote employees.\n\n\n\n**Background Reading**\n\n* [ InReach Ventures, the 'AI-powered' European VC, closes new €53M fund](https://techcrunch.com/2019/02/11/inreach-ventures-the-ai-powered-european-vc-closes-new-e53m-fund/?guccounter=1)\n\n* [The Full-Stack Venture Capital](https://medium.com/entrepreneurship-at-work/the-full-stack-venture-capital-8a5cffe4d71)\n\n* [Roberto Bonanzinga starts InReach Ventures with DIG platform](https://www.businessinsider.com/roberto-bonanzinga-starts-inreach-ventures-with-dig-platform-2015-11?r=US&IR=T)\n\n* [Exceptional Communication; our guidelines for remote working](https://www.craft.do/s/Isrjt4KaHMPQ)\n\n\n\n**Interview Process**\n\n* 15m video chat with Ben, CTO to find out more about InReach and the role\n\n* 2h data pipeline technical test working alongside Ben\n\n* 2h data science technical test working alongside Ghyslain, Product Manager\n\n* 30m architectural discussion with Ben, talking through the work you did on the pipeline\n\n* 30m data science discussion with Ghyslain, talking through the data science work\n\n* 2h interview with the different team members from across InReach. We’re a small company so it’s important we see how we’ll all work together - not just the tech team!\n\n# Responsibilities\n * Creatively and quickly coming up with effective solutions to undefined problems\n\n* Choosing technology that is modern but not hype-driven\n\n* Developing features and tests quickly with good, clean code\n\n* Researching and experimenting on algorithms in a structured fashion, using engineering discipline\n\n* Being part of the wider development team, reviewing code and participating in architecture from across the stack\n\n* Communicating exceptionally, both asynchronously (written) and synchronously (spoken)\n\n* Helping to shape InReach as a remote-first organization \n\n# Requirements\n**Skills**\n\n* Excellent spoken and written English\n\n* Experience working for a remote organization or be able to compellingly describe why you'll be great at it!\n\n* Great time management and communication\n\n\n\n**Technologies**\n\n* Python3\n\n* Jupyter Notebooks\n\n* Pipenv\n\n* Python Unittest\n\n* Postgres\n\n* Pandas\n\n\n\nNone of these are a prerequisite, but help:\n\n* SQS\n\n* Dynamodb\n\n* Scikit Learn\n\n* Pandas\n\n* AWS Lambda\n\n* Docker\n\n* Numpy\n\n* PyTorch \n\n#Salary and compensation\n$70,000/year\n\n\n#Location\nUK or Italy


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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.

Vendrive


This position is a Remote OK original posting verified closed
🇺🇸 US-only

Backend Software Engineer


Vendrive

🇺🇸 US-onlyOriginally posted on Remote OK

go

 

golang

 

postgresql

 

go

 

golang

 

postgresql

 

data science

This job post is closed and the position is probably filled. Please do not apply.
# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a **Backend Software Engineer** with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n\n# Responsibilities\n * Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment \n\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.)\n\n#Location\n🇺🇸 US-only


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Iterative


This position is a Remote OK original posting verified closed
🌏 Worldwide

Senior Software Engineer


Iterative

🌏 WorldwideOriginally posted on Remote OK

open source

 

python

 

dev tools

 

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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dploy.ai


This position is a Remote OK original posting closed
🇪🇺 EU-only

Golang Engineer


dploy.ai

🇪🇺 EU-onlyOriginally posted on Remote OK

artificial intelligence

 

paas

 

artificial intelligence

 

paas

 

golang

This job post is closed and the position is probably filled. Please do not apply.
dploy.ai is building an end-to-end platform that brings fast, secure and regulatory compliant AI deployment to our customers' doorstep. \n\nWe are currently looking to grow our time with three Golang engineers with a focus on back-end development. As a Golang developer you will play an important role in building out the foundation of this new platform.\n\nYou\n* are a technical allrounder with a sound knowledge of Golang, cloud services or a strong proven ability to rapidly pick up new languages/frameworks\n* believe in the Twelve-Factor App principles\n* are familiar with the principles of machine learning\n* keep close track of technical developments and know your way around the open source community\n* like to share your technical know-how with colleagues and clients\n* are fluent in English\n* are located in a European timezone\n\nYou get\n* the opportunity to work on a state-of-the-art Golang-based stack\n* the possibility to work from anywhere\n* the satisfaction of working on a technically-challenging (B2B) product\n* a no-nonsense work environment with passionate and smart colleagues\n* a unique opportunity to be an important contributor in a fast-growing, ambitious startup\n\nSounds awesome? Then apply now! If you have any questions in the meantime don’t hesitate to contact Bart via [email protected] or via phone at +32 471 72 31 22.\n\n> dploy.ai is a dataroots brand \n\n#Salary and compensation\n$90,000/year\n\n\n#Location\n🇪🇺 EU-only


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Netdata Inc.


This position is a Remote OK original posting closed
UTC -3 to UTC +5

Senior Machine Learning Engineer


Netdata Inc.

UTC -3 to UTC +5Originally posted on Remote OK

deep learning

 

statistical models

 

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


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Stripe


This position is a Remote OK original posting verified closed
North America

Machine Learning Engineer Merchant Intelligence


Stripe

North AmericaOriginally posted on Remote OK

fintech

 

finance

 

fintech

 

finance

 
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.
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.*


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Synergy Sports Technology


This position is a Remote OK original posting closed

Senior Backend Data Platform Engineer


Synergy Sports Technology

Originally posted on Remote OK

c#

 

c sharp

 

mongodb

 

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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# 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.
This job post is closed and the position is probably filled. Please do not apply.
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we're good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times --- and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.\n\nTo help us continue to grow, we're looking for an experienced software engineer who appreciates well-crafted and unit-tested code and knows how to deploy and monitor services in production. But that's not all. We're looking for someone who welcomes data challenges and tackles these head-on; finding and implementing the best solution through effective research and evaluation. Someone who understands that no single solution is perfect, accepting instead that it'll improve with every optimization iteration. Sounds familiar? Then komoot is the place for you.\n\nWe are looking for an experienced backend engineer to help us solve a range of challenges, including image quality classification, the matching of user-generated content with open data, e-bike battery level predictions and the improvement of our recommendation systems.\n\n**Your key responsibilities**\n\n- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.\n\n- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.\n\n- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.\n\n- Use the AWS ecosystem to build resilient and high-performing systems.\n\n**Why you will love it**\n\n- You'll work on a global product that inspires millions of users.\n\n- You'll get system access on your first day, as we know you are a smart and responsible engineer.\n\n- You'll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).\n\n- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.\n\n- We have a wide range of diverse challenges, in particular in the GIS domain.\n\n- We believe good ideas count more than hierarchies.\n\n- You'll work together with enthusiastic engineers, hikers and cyclists.\n\n- You'll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n\n- We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies between the time zones UTC-1 and UTC+3.\n\n**You will be successful in this position if you**\n\n- Are highly self-driven, responsible and keen to learn and improve.\n\n- Know your toolkit: git, ssh, bash, junit, jenkins and docker.\n\n- Have deep experience (4+ years) in developing software running under high load\n\n- Possess professional experience in Java and Python.\n\n- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.\n\n- Have strong analytical skills.\n\n- Love to tune, test, simulate and evaluate solutions to unusual problems.\n\n- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.\n\n**Sound like you?**\nThen send us the following:\n\n- Your CV.\n\n- A write-up explaining who you are and why you are interested in working at komoot.\n\n- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).\n\n- Something that shows us a little more about what you're interested in, be it your Twitter/Kaggle account or your blog.


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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.
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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Invisible Technologies


This position is a Remote OK original posting closed

Own Piece of the Next Amazonengineer


Invisible Technologies

Originally posted on Remote OK

javascript

 

amazon

 

node js

 

javascript

 

amazon

 

node js

 
This job post is closed and the position is probably filled. Please do not apply.
Invisible is a process automation company.\nRead about our company here: [https://inv.tech/summary](https://inv.tech/summary)\nApply for our job here: [https://inv.tech/go](https://inv.tech/go)\nJoin our ~20 person startup, grow your engineering skills, get significant equity, share in profits.\nBy the way, if you're not a fit but you know someone who is, pass this along. We offer cash for any qualified referrals.\n## Requirements:\nDeep operational understanding of JavaScript.\nExperience in different programming paradigms, especially functional programming.\n## Nice to have:\nSpecialty in Security\nSpecialty in Machine Learning\n## Benefits:\nWe work 100% remotely. Our team is distributed all over the world.\nAside from scheduled meetings (which we try to minimize), we don’t care about your work hours.\nWe deeply value personal growth and will help you advance in whatever direction(s) you want.\nWe are a [partnership](https://inv.tech/partners), so you will earn equity and share profits.\nInterested? Fill out this form to say hello: https://inv.tech/go\n# Longer version\n## General traits:\n- Demonstrated personal initiative in the past (leadership roles in extra-curriculars, side projects)\n- High introspection (via meditation practice, journaling, art, travel, or non-required writing)\n- Servant mindset — “How can I take care of this on behalf of others for the benefit of all?”\n- Growth mindset — problems are opportunities, impossibilities are challenges, life is best outside of the comfort zone\n- Lack of ego, a hunger for feedback and improvement\n- Abundance mindset — gratitude for what you have, preference for non zero-sum games\n- Personal philosophy that can be clearly stated and that can be questioned and examined\n- Contrarian’s eye — what are others missing here? What doesn’t make sense? What is overlooked because it’s obvious?\n- Systems level thinking — ability to reason on the micro, macro, and especially meta levels in one system or multiple.\n- Design thinking — How is my framing of the situation affecting the users’ experience? What other ways could I combine these elements with same effect?\n- Detail orientation and precise task habits\n## Bonus if you have:\nPast or future interest in the works of Ed Catmull, Peter Thiel, Kevin Kelly, Ray Dalio, John Keats, Douglas Hofstadter, Joseph Campbell.\nExperience working remotely.\nExperience with startups.\nInterest in mental models and a few favorites of your own.\n## On Experience:\nNo specific kind of experience is required, per se. Experience is neither sufficient nor necessary when trying to predict success.\nExperience may bias people towards ideas that prevent them from operating from first principles.\nExperience may accelerate learning because of our human ability to pattern match.\nWe’re really looking for a mixture of qualities, with emphasis on hunger for growth, humility, and resourcefulness.\nReady to apply? Fill out this form to say hello: https://inv.tech/go


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komoot


This position is a Remote OK original posting verified closed

Backend Engineer


komoot

Originally posted on Remote OK

java

 

python

 

java

 

python

 
This job post is closed and the position is probably filled. Please do not apply.
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nOne key driving factor to our growth has always been our understanding that a technological approach can provide an outdoor experience far beyond the possibilities of traditional services. On the one side, we collect, combine and process various open data sources (such as OSM and Wikipedia) and turn raw data into easily accessible information and understandable products, such as our easy-to-use outdoor route planner. On the other, we leverage the wisdom of our vast user base and use crowdsourced data for personalized, local outdoor recommendations. Now, with your strong analytical skills and your passion for building well-crafted and tested code, we’ll leave traditional, standard solutions even further behind—and we’ll truly change the way people explore.\n\n**Your key responsibilities**\n\n- Implement new features closely together with our web and mobile developers, designers, copywriters and product managers.\n- Develop and tune algorithms to leverage our content recommendation, rankings, content analyses and product smartness.\n- Build new and improve existing micro-services, primarily in Java/Kotlin and Python.\n- Use the AWS ecosystem to build resilient and high-performing systems.\n\n**Why you will love it**\n\n- You’ll work on a global product that inspires millions of users.\n- You’ll get system access on your first day, as we know you are a smart and responsible engineer.\n- You’ll take ownership over your projects from day one (from concept to implementation; testing, deployment and monitoring).\n- Your challenging tasks will keep improving your skills and keep you up-to-date with the latest technologies.\n- We have a wide range of diverse challenges, in particular in the GIS domain.\n- We believe good ideas count more than hierarchies.\n- You’ll work together with enthusiastic engineers, hikers and cyclists.\n- You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n- We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies between the time zones UTC-1 and UTC+3.\n\n**You will be successful in this position if you**\n\n- Are highly self-driven, responsible and keen to learn and improve.\n- Know your toolkit: git, ssh, bash, junit, jenkins and docker.\n- Have deep experience (4+ years) in developing software running under high load\n- Possess professional experience in Java and Python.\n- Have demonstrable knowledge of common algorithms within the machine learning and statistics space.\n- Have strong analytical skills.\n- Love to tune, test, simulate and evaluate solutions to unusual problems.\n- Live and breathe DevOps and believe in automated testing, infrastructure as code, continuous deployment, monitoring and open communication.\n\n**Sound like you?**\nThen send us the following:\n\n- Your CV.\n- A write-up explaining who you are and why you are interested in working at komoot.\n- Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.).\n- Something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account or your blog.\n- As we love people that go the extra mile, you’ll get bonus points for doing something creative with komoot.


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Doximity


This position is a Remote OK original posting verified closed

Machine Learning Engineer


Doximity

Originally posted on Remote OK

git

 

python

 

git

 

python

 

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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ThoughtExchange

 This job is getting a relatively high amount of applications currently (10% of viewers clicked Apply)

closed

Machine Learning Engineer  This job is getting a relatively high amount of applications currently (10% of viewers clicked Apply)


ThoughtExchange


This job post is closed and the position is probably filled. Please do not apply.
Thoughtexchange empowers organizations to lead group discussions about things that matter. Leaders from all over North America inform critical decisions with powerful, patent pending analytics and visualizations supported by our software and world class customer success team.  Millions of thoughts have been shared and rated on the Thoughtexchange platform and with a fresh round of financing Thoughtexchange is ready to scale.\n\nWe are looking for a creative and passionate Machine Learning Engineer wanting to work on a product that makes a difference. You will join a highly motivated and talented research engineering team who work with tools on the cutting edge of technology.  Our team keenly observes technology trends but strives to balance practical business concerns with technical requirements. We are an inclusive team where everyone treats each other with extraordinary respect.\n\n\n\n\nResponsibilities:\n\n\n\n\n* Create proof of concept of machine learning products and services using open source tools, libraries and frameworks\n\n* Detect patterns associated with our massive text and raw data to generate models enabling our customers with recommended actions and predicted results\n\n* Work closely with R&D team. Train and develop machine learning models with a focus on NLP and recommender systems based on business requirements\n\n* Be able (and willing) to multi-task and learn new technologies quickly\n\n\n\n\n\n\n\n\n\n\nQualifications:\n\n\n\n\n* Masters in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent\n\n* 3+ years experience in the industry\n\n* Experience in training, deploying, testing and shipping ML models in a production environment\n\n* Solid understanding and applying object-oriented design, data structures, algorithm design, and complexity analysis\n\n* Deep understanding on machine learning, deep learning and natural language processing\n\n* Experience in deep learning frameworks, e.g. Tensorflow, Pytorch, Keras, Scikit Learn\n\n* Experience in transformer language models such as BERT, BART and GPT for various downstream tasks\n\n* Passionate about keeping up with the state of the art and constantly learning as the field evolves\n\n* Familiar with recommender systems\n\n* Solid Python programming skills\n\n* Excellent oral and written communication and presentation skills\n\n* Self starter, quick learner and creative mind\n\n\n\n\n\n\n\n\n\n\nNice to have:\n\n\n\n\n* Candidates with a PhD\n\n* Familiarity with Big Data tools such as Hadoop and Spark\n\n* Proven track record of publishing in top tier ML conferences such as NeurIPS, ICML, etc\n\n\n\n\n


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Studitemps

 This job is getting a relatively high amount of applications currently (10% of viewers clicked Apply)

closed

Software Engineer Machine Learning  This job is getting a relatively high amount of applications currently (10% of viewers clicked Apply)


Studitemps


dev

 

dev

 
This job post is closed and the position is probably filled. Please do not apply.
\nMission\n\n\n* \n\nAls Teil unseres Machine Learning Teams hilfst du uns dabei, unsere Daten nutzbar zu machen und Studierende und Unternehmen mithilfe intelligenter Systeme noch besser zueinander zu bringen. \n\n\n* \n\nDu konzeptionierst und implementierst gemeinsam mit deinem Scrum-Team Machine-Learning-Systeme und -Prozesse und bindest sie in unsere Softwareprodukte ein. Dabei arbeitet ihr eng mit unseren weiteren Teams zusammen.\n\n\n* \n\nDu baust Machine-Learning-Technologien auf – unter anderem im Bereich Automated Planning, Recommender Systems und intelligente Suchen.\n\n\n\n\n\nProfil\n\n\n* \n\nDu hast bereits mehrere Jahre Erfahrungen als Software-Entwickler, aber auch im Bereich Machine Learning gesammelt.\n\n\n* \n\nAkronyme wie PCA und SVM erzeugen keine Fragezeichen in deinem Kopf sondern eröffnen neue Lösungsräume.\n\n\n* \n\nDu verfügst über Wissen im Bereich Machine-Learning-Infrastruktur, zum Beispiel bei automatisierten Deployments oder dem Aufbau von reproduzierbaren (Test-)Pipelines.\n\n\n* \n\nDeine mathematischen Kenntnisse sind auch mehr als die Summe der Grundrechenarten.\n\n\n\n


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The Meet Group


closed

Senior Machine Learning Engineer


The Meet Group


senior

 

senior

 
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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Startuplifers

 This job is getting a relatively high amount of applications currently (13% of viewers clicked Apply)

closed

Machine Learning Research Engineer Video.io  This job is getting a relatively high amount of applications currently (13% of viewers clicked Apply)


Startuplifers


video

 

video

 
This job post is closed and the position is probably filled. Please do not apply.
Come build the future of mobile video and human interaction with Video.io. Video.io is a super sleek zero-latency mobile video stack and API that allows developers to build mobile video apps of the sleekness and robustness of TikTok or Snapchat within a day.\n\nVideo.io is looking for passionate software engineers to join them and help contribute to their machine learning platform for video.\n\nStartuplifers is a non-profit organization connecting the top Nordic talent with San Francisco Bay Area startups. We guarantee a free flight ticket, a hassle-free visa process, and a supportive community, making your transition to San Francisco seamless and fun. Together we will secure the job of your dreams.\n


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Insight Timer

 This job is getting a relatively high amount of applications currently (11% of viewers clicked Apply)

closed

Senior Machine Learning Engineer  This job is getting a relatively high amount of applications currently (11% of viewers clicked Apply)


Insight Timer


senior

 

senior

 
This job post is closed and the position is probably filled. Please do not apply.
\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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Talroo


closed

Principal Machine Learning Engineer


Talroo


This job post is closed and the position is probably filled. Please do not apply.
\nAbout the Position \n\nThis Principal Machine Learning Engineer position is a high-impact role at Talroo.  We are looking for an experienced machine learning practitioner with high-standards to help scale and expand high-value business initiatives. \n\nYou will be joining a top-tier team that understands the real-world business opportunity that machine learning enables and how it can transform businesses.  At Talroo, we iterate with A/B testing to fail fast and learn quickly. The result is real, measurable revenue and profit impact.  \n\nThe ideal candidate will have a passion for technology with a clear, solid background in computer science. If you have a proven ability to learn, explore, and quickly turn the latest technologies into value, then you are the perfect candidate. \n\nOur team of experienced engineers has deep industry experience in search/information retrieval.  The team is highly collaborative while also being self-sufficient enough to turn any idea into a business win.  As a high impact teammate, you will help with everything from data ETLs to modeling to model serving to test reporting. This unique opportunity will expose you to deep insights into the technology and the business.  On a day-to-day basis, expect roughly 20% of your time to be on the serving/inference layer, 20% data science modeling, and the rest will be around data cleaning, ETL, and analytics. \n\nThe team is working to improve many facets of the job recommendation process. This involves gathering data from billions of monthly job queries to create, test, and iterate on machine learning models. When successful, we help job seekers find their perfect job faster and employers receive a higher quality of candidate. \n\nWhat we are looking for in a highly qualified candidate: \n\n\n* Big Data processing – Apache Spark is the key to our data pipelines that create our insights. Understanding SQL is a must in this environment.  For maximum performance, we utilize Scala. \n\n* Search technologies – our Lucene/Solr inverse index powers billions of our queries every month. \n\n* High-performance web services – our microservices scale with Java technologies while providing sub-millisecond response times. \n\n* Machine learning – our latest wins have come from ML technologies like gradient boosted trees (XGBoost, MML Spark) and deep learning (TensorFlow, Keras).  Python is the preferred language here. \n\n* Most importantly, the highly qualified candidate has the initiative and ability to quickly learn and apply the above. \n\n\n\n\nMinimum Requirements \n\n\n* Bachelor’s or higher degree in Computer Science from a top university. \n\n* Five (5) to ten (10) years of computer programming work experience with proven, high-value results. \n\n* Two (2) years of data science, machine learning, or data engineering work experience. \n\n\n\n\nBenefits \n\n\n* Highly competitive salary \n\n* Company-paid gym membership \n\n* Comprehensive, company-paid health, vision, and dental insurance premiums for you and your dependents \n\n* 401(k) retirement plan with 3% employer contribution \n\n* Paid company holidays & Unlimited PTO \n\n* Awesome company events \n\n\n\n\n\nTalroo is proud to be an Equal Opportunity Employer. Candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. 


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Cisco Meraki


closed

Fully Lead Machine Learning Engineer


Cisco Meraki


exec

 

exec

 
This job post is closed and the position is probably filled. Please do not apply.
\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\n\n\n


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ZeroEyes


verified closed

Machine Learning Engineer


ZeroEyes


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


closed

Machine Learning Engineer


Pachama


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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eyeo


closed

Senior Machine Learning Engineer


eyeo


senior

 

senior

 
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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Numbrs


closed

Machine Learning Engineer


Numbrs


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

 This job is getting a relatively high amount of applications currently (12% of viewers clicked Apply)

closed

Machine Learning Engineer  This job is getting a relatively high amount of applications currently (12% of viewers clicked Apply)


Scalable Path


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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Automattic


closed

Machine Learning Engineer


Automattic


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


closed

Software Engineer Machine Learning


Wikimedia Foundation


dev

 

dev

 
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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Knock.com


closed

Senior Machine Learning Engineer


Knock.com


senior

 

senior

 
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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Ephesoft


closed

Machine Learning Engineer Data Scientist


Ephesoft


data science

 

data science

 
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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Research Square


closed

Machine Learning Software Engineer


Research Square


dev

 

dev

 
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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Wikimedia Foundation


closed

Engineering Manager Machine Learning


Wikimedia Foundation


exec

 

exec

 
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


closed

Machine Learning Engineer


Qntfy


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\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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phData


closed

Machine Learning Engineer


phData


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

 This job is getting a relatively high amount of applications currently (15% of viewers clicked Apply)

closed

Machine Learning Engineer For Heart Beat Analysis Project  This job is getting a relatively high amount of applications currently (15% of viewers clicked Apply)


DjangoForce


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

 This job is getting a relatively high amount of applications currently (12% of viewers clicked Apply)

closed

Machine Learning Engineer  This job is getting a relatively high amount of applications currently (12% of viewers clicked Apply)


Agile Resources


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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Thrive Global


closed

Technical Lead Data Engineering Machine Learning


Thrive Global


exec

 

exec

 
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


closed

Senior Scala Machine Learning Engineer


Findify


scala

 

senior

 

scala

 

senior

 
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


closed

Machine Learning Engineer


Senseye


golang

 

golang

 
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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Avanoo


closed

NLP Machine Learning Engineer


Avanoo


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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Simon Data


closed

Machine Learning Engineer


Simon Data


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


closed

Senior Machine Learning Engineer


Innovation Research Labs


senior

 

senior

 
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


closed

Machine Learning Data Pipeline Engineer


Vorstella


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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Elastic


closed

Machine Learning Information Engineer


Elastic


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


closed

Scala Machine Learning Engineer


Findify


scala

 

scala

 
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


closed

Kickass Python Machine Learning Engineer


Seez


python

 

python

 
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


closed

Machine Learning Engineer F M


Jaumo


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


closed

Senior Machine Learning Engineer


Selerity


senior

 

senior

 
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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COMPAREX USA


closed

Senior Machine Learning Engineer


COMPAREX USA


senior

 

senior

 
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


closed

Machine Learning Engineer


Hays Specialist Recruitment


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


closed

Machine Learning Research Engineer


Mycos Technologies


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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Radical Convergence


closed

Machine Learning Engineer


Radical Convergence


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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BuzzBird


closed

Machine Learning Data Engineer


BuzzBird


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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Revl.com


closed

Senior Machine Learning Engineer


Revl.com


senior

 

senior

 
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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Stardog Union


closed

Senior Machine Learning Software Engineer


Stardog Union


dev

 

senior

 

dev

 

senior

 
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


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AgFlow


closed

Software Engineer Machine Learning Specialist


AgFlow


dev

 

dev

 
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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TAINA Technology Limited


closed

Machine Learning Software Engineer


TAINA Technology Limited


dev

 

dev

 
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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Knock


closed

Senior Machine Learning Engineer


Knock


senior

 

senior

 
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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Elastic


closed

Research Engineer Machine Learning For Elastic


Elastic


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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Knock


closed

Machine Learning Engineer


Knock


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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Gaggle.Net


closed

Machine Learning Engineer


Gaggle.Net


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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GitHub


closed

Software Engineer Machine Learning


GitHub


dev

 

dev

 
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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HyperScience


closed

Machine Learning Engineer


HyperScience


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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CrowdFlower


closed

Full Stack Engineer


CrowdFlower


javascript

 

postgres

 

scala

 

javascript

 

postgres

 

scala

 

ruby

This job post is closed and the position is probably filled. Please do not apply.
\nAbout Us:\nCrowdFlower is changing the way work gets done, and we want you to help us make it happen.\nWere building a platform that makes it easy for data scientists to enrich their data by distributing work to an on-demand workforce located around the world. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Everything our engineers do has real and tangible impact, everyday.\nWe need smart, innovative people to help us build scalable, resilient and responsive systems, working with our exceptional team in San Franciscos Mission District. You can look forward to working with a dynamic, growing company in a casual and fun environment with an opportunity to make an impact at all levels of the business.\nLearn more about our engineering culture at http://www.crowdflower.com/careers/engineering.\nThe Job:\nWhen we say Full Stack Engineer, we're looking for someone that is comfortable building custom UI/UX as well as defining API endpoints for the UI to communicate with. In terms of MVC, the position looks like: 5% M, 75% V, and 20% C. The primary tools you'll employ are Rails and jQuery. You like to work with different technologies and are passionate about constantly learning new things. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components and promoting best practices for agile software development. You will help us ensure we continue to evolve and keep our edge as a world­-class development team. \nResponsibilities:\n* Distilling complex requirements into simple interfaces.\n* Defining the future of CrowdFlower's platform.\n* Building new products that use the core CrowdFlower platform.\n* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.\n* Take pride and ownership in your work and encourage others to do the same\n* Promote best practices for writing maintainable, well­-tested code\n\n\nMust Haves:\n* 3+ yrs experience on at least one significant production-level web app in Rails.\n* Experience in multiple programming languages (we primarily use Ruby and JavaScript).\n* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.\n* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.\n\n\nExperience with these would be definite assets:\n* Client-side MVC - React and/or Backbone\n* Jasmine/TDD experience\n* An opinion about Web Components/ES6\n* Git skills and GitHub repos full of cool stuff you've hacked on\n* A great design aesthetic\n* PostgreSql, JQuery, Redis\n* AWS, Jira, Confluence.\n\n


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NodePrime


closed

Golang Software Engineer


NodePrime


golang

 

node js

 

golang

 

node js

 
This job post is closed and the position is probably filled. Please do not apply.
San Francisco, United States - NodePrime’s next generation of data center infrastructure analysis requires a massive data pipeline extending from the probing millions of devices to processing machine learning algorithms. We’re looking for engineers that will help develop our pivotal com...


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RedJack


closed

Research Engineer


RedJack


infosec

 

c plus plus

 

python

 

infosec

 

c plus plus

 

python

 
This job post is closed and the position is probably filled. Please do not apply.
\nRedJack is seeking an experienced Research Engineer to help cultivate a unique network proxy system that combines machine learning and novel cryptographic concepts to circumvent Internet censorship. The ideal candidate will have networking and network security experience.  Candidates will be expected to contribute to a complex codebase combining Python and C/C++ components, provide input into the overall system architecture, and help design new features for future iterations of the system.


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EcoHealth Alliance


verified closed

DevOps Engineer


EcoHealth Alliance


devops

 

dev

 

mongodb

 

devops

 

dev

 

mongodb

 
This job post is closed and the position is probably filled. Please do not apply.
\nAre you interested in applying your technical skills to identifying the next global infectious disease threat?\n\nEcoHealth Alliance is seeking a DevOps engineer with database experience for our data science and research technology program. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll deploy and maintain tools to predict the next pandemic and support research teams in the field. As our first and only DevOps engineer, you will drive the direction of our infrastructure. Our work ranges from data mining and machine learning algorithms to web development, design, and visualization. If you're interested in working on those parts of the stack as well, you'll have that opportunity. We currently use AWS for hosting and Ansible for deployment, and MongoDB.\n\nThe position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered.\n\nEcoHealth Alliance offers a competitive salary and a comprehensive benefit package including health, dental, and vision coverage, and a 403(b) pension plan. EcoHealth Alliance is an equal opportunity employer.\n\nTo apply, please email your resume and a PERSONALIZED COVER LETTER as one document to [email protected] with the subject of 'DevOps Engineer 2015'. In your cover letter, please briefly describe your past experience with programming, databases, and DevOps, and any experience with machine learning, natural language processing, and public health. Additionally please indicate how your skills and interests make you a great fit to work on a research-and-development oriented team at a health and conservation focused non-profit.\n\n\nONLY APPLICANTS WITH PERSONALIZED COVER LETTERS WILL BE CONSIDERED. 


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SensorHound Innovations


closed
West Lafayette

Machine Learning Engineer


SensorHound Innovations

West Lafayette
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 and compensation\n$50,000 — $60,000/year\n \n\n#Equity\n1.0 - 3.0\n\n\n#Location\nWest Lafayette


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Nookster


closed
Pasadena, CA

Machine Learning Engineer


Nookster

Pasadena, CA
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 and compensation\n$120,000 — $200,000/year\n \n\n#Equity\n0.1 - 0.2\n\n\n#Location\nPasadena, CA


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VerAxis


closed
Palo Alto

Machine Learning


VerAxis

Palo Alto
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 and compensation\n$90,000 — $130,000/year\n \n\n#Equity\n0.5 - 1.0\n\n\n#Location\nPalo Alto


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