Research Scientist - World Model
Core
Designing interactive, physically faithful world models from generative video to serve as a substrate for embodied reasoning and agent control.
Role type
Senior IC research scientist (world models & generative AI)
Builds
Next-generation world-model architectures and controllability mechanisms for embodied agents
Domain
Generative AI, Computer Vision, Robotics, Model-based Reinforcement Learning
Deliverable
production ML models
Required skills
Large-scale generative modeling, Self-supervised representation learning, Model-based RL, Multi-node cluster training, PyTorch, Top-tier publication record
Preferred skills
World models, Neural simulation, 4D scene representations, Embodied task planning
Technologies
PyTorch, Diffusion, Transformers, Autoregressive models
Responsibilities
Invent world-model architectures focused on controllability and physical consistency; Develop action/view conditioning and long-horizon rollout mechanisms; Define metrics for physical fidelity and action-following; Run scaling studies on compute and data efficiency; Publish frontier research and contribute to open-source releases
Seniority
Senior, hands-on IC