Drimva

Twitch

Applied Scientist

$172K–$222K

San Francisco, CA · Full-time · Posted Oct 8, 2026

Experience
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).
Education
Degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar).

About the job

An Applied Scientist on Twitch’s GTM Science team develops and deploys machine-learning solutions for creator and content understanding problems across areas such as ads, brand safety, and sponsorships.

What you'll do

  • Build machine-learning products that improve content understanding and help creators and viewers discover communities.
  • Design and lead high-impact projects, choosing appropriate machine-learning approaches for customer problems.
  • Collaborate with engineering and product teams to prototype and deploy models into data pipelines and ML services.

What they ask for

  • Quantitative-field degree and applied ML industry experience: 5+ years with a Bachelor’s, 3+ years with a Master’s, or 1+ year with a PhD.
  • Experience with LLM model evaluations.
  • Experience owning projects involving numerous scientists and engineers.
  • Python, SQL, modern open-source ML libraries, and software development in AWS or similar cloud services.

Nice to have

  • PhD specializing in Machine Learning.
  • Experience in computer vision, LLM inference, content understanding, or GTM/Content/Creator organizations; familiarity with Twitch.

Pay

$171,600 — $222,200 USD base salary

Tools

Python, SQL, Pytorch, Tensorflow, AWS, LLM, computer vision

AI focus

Applies machine learning to creator and content signals, including content understanding, ads, brand safety, and creator sponsorship; work includes LLM evaluations, experimentation with LLM techniques, computer vision, inference, and model evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)