Member Of Technical Staff
Core
Training action policies and world models on large corpora of action-labeled gaming data to build large action models that perceive, predict, and act across virtual and physical environments.
Role type
Research and engineering IC (action models/world models)
Builds
Large action models for real-world intelligence
Domain
AI/ML, gaming data, action prediction
Deliverable
production ML models
Required skills
action policy training, world model training, large-scale data processing, model deployment
Preferred skills
experience with gaming datasets, reinforcement learning, multi-modal learning
Technologies
(none explicitly stated)
Responsibilities
Train action policies and world models on gaming data, solve critical problems across research, engineering, and infrastructure
Seniority
Individual Contributor (MTS title used for all technical staff)
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