Twitch

Senior Applied Scientists - Community

Twitch

June 10, 2021

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
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
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
Commuter Benefits
Amazon Employee Discount
Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages , etc. ),
Breakfast, Lunch & Dinner Served Daily
Free Snacks & Beverages
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.