Twitch is building the future of interactive entertainment. Multimedia (visual, audio and chat) analysis and recommendations (matching viewers with live content they greatly enjoy), is core to that vision. As an applied scientist on Twitch Applied Machine Learning Team, you will help design, prototype and implement algorithms and techniques that extract metadata from videos and chat, and connect Twitch users with the right content. By improving Twitch’s products using machine learning, you will help Twitch’s viewers have a great experience, and help Twitch’s broadcasters find more passionate fans.
At Twitch, which is part of Amazon, you’ll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.
Design, prototype, and implement Machine Learning (ML) products, which can potentially involve computer vision, Natural Language Processing (NLP) and Recommendations
Keep up to date with state-of-the-art ML algorithms and techniques and be able to apply them when appropriate
Push the state-of-the-art to address Twitch’s unique requirements
Collaborate with team members in the applied machine learning group in an effective manner
Deep knowledge of ML algorithms and their feasibility for implementation
Hands-on experience in developing Deep Learning algorithms, and experience in using Deep Learning libraries, e.g., TensorFlow, MxNet, PyTorch, Theano, etc.
Desire and ability to write production quality code
MS / Ph.D. in computer science or equivalent experience
Deep knowledge in ONE of the following areas, with either published research or publically available code of algorithms
Recommender algorithms, e.g., collaborative filtering, content based recommendations, deep models for recommendations, etc.
Computer Vision: large scale object detection, activity recognition, OCR, learning with few examples, etc.
Natural Language Processing: Word/Sentence Embeddings, Topic Detection, Sentiment Analysis, Entity Extraction, etc.
Demonstrated experience in software development via an internship, work experience, coding competitions or submissions to open source projects.
Full benefits, including medical, dental, vision and life
401(k) savings plan with a company match
Catered daily lunch and dinners (and hearty breakfasts three times a week)
Unlimited snacks and drinks
Monthly in-office massages
Corporate gym membership
Flexible time off policy
Weekly happy hours and opportunity to attend one gaming event or tournament
Top of the line technology to help you build your own workspace
Twitch is the world’s leading video platform and community for gamers, with more than 100 million visitors per month. We connect gamers from around the world by allowing them to broadcast, watch, and chat with each other. Twitch’s live and on-demand video platform forms the backbone of a distribution network for video game broadcasters including pro players, tournaments, leagues, developers and gaming media organizations. Twitch is leading a revolution in gaming culture, turning gameplay into an immersive video experience. Learn more at:
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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Share this job
CompanyTwitch Interactive, Inc.
Position CategoryMachine Learning Science
Company/Location (search) : Country (Full Name)United States