Job description

About Us 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. About the Role 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. You Will: Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities. Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one. Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services. Bring innovation and help drive science culture on the team by staying up to date and experimenting with new techniques in LLM, computer vision, inference and model evaluation. You Have: A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar) with: 5+ years of hands-on industry experience with applied ML (Bachelor's), OR 3+ years of applied ML experience (Master's), OR 1+ year of applied ML experience (PhD) Experience with LLM model evaluations. Experience owning projects that involve numerous scientists and engineers. Experience working with both technical and non-technical partners and stakeholders. Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services. Bonus Points PhD with a specialization in Machine Learning. Experience with computer vision, LLM inference, content understanding. 1+ years of experience working in GTM / Content / Creator orgs (not necessarily as a scientist). Familiarity with Twitch, its business, and its community. Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount 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 amazon.jobs . 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.

Requirements

Must-haves

You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA.
Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities.
Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one.
Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services.
Bring innovation and help drive science culture on the team by staying up to date and experimenting with new techniques in LLM, computer vision, inference and model evaluation.
A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar) with:
5+ years of hands-on industry experience with applied ML (Bachelor's), OR
3+ years of applied ML experience (Master's), OR
1+ year of applied ML experience (PhD)
Experience with LLM model evaluations.
Experience owning projects that involve numerous scientists and engineers.
Experience working with both technical and non-technical partners and stakeholders.
Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services.
1+ years of experience working in GTM / Content / Creator orgs (not necessarily as a scientist).

Nice-to-haves

PhD with a specialization in Machine Learning.
Experience with computer vision, LLM inference, content understanding.
Familiarity with Twitch, its business, and its community.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlllmpythonsqlaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave