Senior ML Engineer

US, OH, Virtual Location - Ohio

Applications have closed

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About Us:
Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.
About the Role:
We are looking for passionate applied scientists who are excited to solve challenging and open-ended problems in the creation of automated safety products. As an applied scientist on Twitch's Community team, you will help us better understand user behaviors and various types of user-generated content. You will be developing next-generation intelligent products using state of the art ML models with a world class engineering team. You will help ensure that creators and viewers on Twitch can build thriving communities.

You Will:
· Work closely with the Community engineering and product management team to create flexible data pipelines and ML based services
· 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
· Continuously experiment with new techniques in order to keep pushing the boundaries of what is possible to keep our communities growing on Twitch


Basic Qualifications


You Have:
· PhD (or equivalent experience) in CS, Math, Stats or equivalent hands on experience
· 5+ years of hands-on experience in predictive modeling and analysis
· 5+ years of experience building ML, NLP or deep learning models in large-scale production environments
· 5+ years experience in a general purpose programming language: Go, C/C++, Python, Java, etc


Preferred Qualifications

Bonus Points:
· PhD with specialization in ML / NLP
· Hands-on experience developing Deep Learning algorithms and experience using Deep Learning libraries such as TensorFlow, MxNet, PyTorch, etc.
· Experience with Natural Language Processing using Deep Learning in areas such as Word/Sentence Embeddings, Topic Detection, Sentence/Document Classification, Sentiment Analysis, Named Entity Recognition, etc
· Strong software development skills
· Familiarity with AWS services
Perks:
· Medical, Dental, Vision & Disability Insurance
· 401(k)
· Maternity & Parental Leave
· Flexible PTO
· Amazon Employee Discount
· Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)

We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Tags: AWS C++ Classification Data pipelines Deep Learning Engineering Machine Learning ML models MXNet NLP PhD Pipelines Predictive modeling Python PyTorch Research TensorFlow

Perks/benefits: Career development Fitness / gym Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Team events

Regions: Remote/Anywhere North America
Country: United States
Job stats:  19  0  0

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