Member of Technical Staff
Core
Training action policies and world models on the largest corpus of action-labeled gaming data to enable perception, prediction, and action across virtual and physical environments.
Role type
Research and engineering IC (action models/world models)
Builds
Large action models and world models for gaming and physical environments
Domain
Gaming, AI, Reinforcement Learning
Deliverable
production ML models
Required skills
Action policy training, world model development, large-scale data processing, virtual/physical environment modeling
Preferred skills
Research in action modeling, experience with gaming data, infrastructure scalability
Technologies
Action-labeled gaming data corpus, large-scale training frameworks
Responsibilities
Train action policies and world models, align technical work with team roadmap, solve problems across research, engineering, and infrastructure
Seniority
Individual Contributor (MTS), flexible role based on strengths