Staff Research Scientist, Foundation Models - Tech Research

Posted

Riot GamesLos Angeles, USA; Mercer Island, USA; Redwood City, USAfull-timestaff

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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