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 onLinkedIn,Twitter and on ourBlog.
About the Position
Twitch Commerce is a mission-driven organization that helps creators build communities and earn a living on Twitch through products that provide patronage to creators and recognition to patrons. The scale of users, transactions and social interactions we operate at presents a massive opportunity to leverage our data to improve experiences for our creators and patrons, invent new, personalized features, and safeguard our users and product from fraud and abuse.
As an applied scientist on the team, you’ll have the opportunity to experiment, build and scale solutions that are unique and best-in-class. Twitch’s data is unique-- granular structured event data, graphs of user interactions, as well as raw live video (CV), and chat (NLP), and utilizing it efficiently is a rewarding technical challenge for the right person, with success leading to immediate impact to millions of creators and viewers.
Design, prototype and implement Machine Learning (ML) algorithms for commerce-- shipping products to our users to increase creator revenue and support, and keeping bad actors out of our ecosystem.
Develop and improve the production data pipelines and ML pipelines on which those algorithms operate
Collaborate with investigators, analysts, PMs and SDEs to turn ever-evolving insights about our users into automated services.
Hands-on experience in developing algorithms on top of data pipelines that scale
Desire and ability to write production quality code (Python, Go, Scala) on top of a production software toolkit (AWS)
Ability to communicate and share insights with non-technical partners.
Effective ML breadth (probability, statistics, linear algebra, optimization) and ML depth in at least one area (ex. statistical learning, deep learning, NLP, graph theory, unsupervised learning)
MS / Ph.D in an empirical quantitative field
Domain knowledge or experience working with commercial platforms, social platforms, and/or two-sided markets
Desire and ability to think through how incentives affect how users and bad actors operate in consumer product environment
Demonstrated experience in software development environment at a large tech company.
You can teach us something new!
Medical, Dental, Vision & Disability Insurance
Maternity & Parental Leave
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
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.