Staff Research Scientist, Foundation Models - Tech Research
Posted
Tech Stack
Responsibilities
- Propose, implement, and evaluate world models that learn latent representations of game state, player behavior, and environment dynamics
- Build predictive simulations that enable agent training, game balance testing, and rapid design iteration without full game server overhead
- Develop methods for synthetic data generation and auto-balancing powered by learned environment models
- Explore language-conditioned approaches that combine large language models with state estimators to enable new forms of game interaction
- Work closely with game teams to understand gameplay needs and design constraints, ensuring research is grounded in real player experiences
Benefits
- 401k
- Health Insurance
- Parental Leave
Culture
Work-Life BalancePlayer EmpathyCross-Functional TeamsCollaborative Space
Requirements
Required: Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience (i.e., M.Sc. with 3+ years of relevant experience, or B.Sc. with over 6+ years of relevant experience, etc.)
Regions: Us
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About Riot Games
Industry: gaming
Size: enterprise
Riot Games creates high-quality, performant player-facing content by blending artistic sensibility with technical problem-solving, with a mission to make it better to be a player.
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