Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It’s where millions of people come together to chat, interact, and make their own entertainment.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we’re solving on our Blog.
Twitch Ads aims to equitably create meaningful income for all creators by complementing income earned from patronage products. We take pride in our mission to help streamers build communities and earn a living doing what they love. The scale and diversity of users, transactions, social interactions and communities presents an exciting opportunity to use our data to personalize experiences for our viewers, creators and advertising partners.
The Ads ML team aims to identify and exploit levers in the multi-participant ads marketplace that can reduce the impact of bad actors, increase safety for brands alongside live streaming content, and lead increased efficiency while raising the bar of viewer experience. As an Applied Scientist, you will build applied solutions that bring stepwise changes to the business by promoting new opportunities, driving efficiencies and equilibrium at scale across both supply and demand. Twitch data is unique-- granular structured event data, graphs of user interactions, raw live video, and chat. Come join us!
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.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Job ID: TW7219
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