// Open Role at Twitch
Join Twitch's GTM Science team as an Applied Scientist to solve challenging problems using machine learning, enriching content understanding and empowering creators on the world's biggest live streaming service.
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
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 X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of Creators and content contextual signals. As an Applied Scientist on Twitch's GTM Science team, you will use applied machine learning to tackle ambiguous business problems across problem areas such as Ads, Brand Safety, Creator Sponsorship and Content Understanding. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models, prototype and put them into production, where they can help Twitch's creators and viewers succeed and build communities.
You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9302
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
US, CA, San Francisco
$171,600—$222,200 USD
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
- Build machine learning products to enrich Twitch’s content understanding and help creators and viewers. - Propose, design, and oversee execution for high-impact projects. - Collaborate with cross-functional engineering and product teams to prototype and deploy models. - Drive innovation and science culture by experimenting with new techniques in LLM, computer vision, inference and model evaluation. - 5+ years of hands-on industry experience with applied ML (Bachelor's), OR 3+ years (Master's), OR 1+ year (PhD). - Experience with LLM model evaluations. - Experience owning projects involving numerous scientists and engineers. - Experience working with both technical and non-technical partners and stakeholders. - Expertise with Python, SQL, modern open source ML libraries (Pytorch, Tensorflow), and developing software in AWS or similar cloud-computing services.