Applied Scientist
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
- sign-on payments
- restricted stock units (RSUs)
- 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
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
