Applied Scientist III #0000 Job at Twitch Interactive, Inc.

Twitch Interactive, Inc. San Francisco, CA

Master’s degree or foreign equivalent in Computer Science, Statistics, Engineering or a related quantitative field and 1 year of experience in research science.

Experience must include:
1. Programming in Java, C++, Python or related language
2. SQL and multiple statistical computing tools in both Python and Java
3. Algorithm development

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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Job summary
Employer: Twitch Interactive, Inc.
Position: Applied Scientist III
Location: San Francisco, CA

Multiple Positions Available:
1. Designing and delivering ML-based solutions for ambiguous, complex problems that require scientific breakthroughs, with limited guidance (e.g., where the business problem or opportunity is not yet defined)
2. Work closely with the search engineering and product management team to create flexible data pipelines and ML based services. Contribute to operational excellence in the search team’s scientific features, constructively identifying inefficient processes and proposing solutions.
3. Deliver and maintain software and models in the production environment. Research, prototype, develop and productionize innovative ML techniques to help build meaningful connections and add business value Stay up to date with the state-of-the-art ML research.
4. Design, develop, and implement production level code that serves millions of search requests. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment. Work with engineers to make low latency model predictions and scale the throughput of the system.
5. Train machine learning / deep learning based models using ML platforms and libraries such as Tensorflow, Pytorch, Pyspark, etc. Apply natural language processing techniques to improve ranking of search results and develop new ranking features and techniques building upon the latest results from the academic research community.
6. Experiment with different models, analyze results using statistical methods and iterate on improving the results Propose and validate hypotheses to direct our business and product road map.
7. Develop data-driven solutions for the real-world, large scale problems. Continuously experiment with new techniques in order to improve user experience using search. Drive the science vision and roadmap. Lead cross functional collaborations between product, design, and engineering.
8. Evaluates end-to-end ML designs for strengths and weaknesses (data quality, scalability, ensuring accuracy in models and simulation results, performance, etc.)
9. Drives machine learning best practices and set standards
10. Builds and owns ML solutions that are easy for others to contribute to. Knows how to document solutions, make them auditable, available, and accessible.
11. Designs solutions and provides guidance that utilize and improve on state-of the-art techniques. Takes a long term view of the business objectives, system wide view of product roadmap, technologies, and how they should evolve.
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All applicants must meet all the above listed requirements.

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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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