Applied Scientist

About This RoleAI processing…

Key Responsibilities

• 1
  Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities.
• 2
  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.
• 3
  Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services.
• 4
  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.

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)
• 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 & Benefits