Staff Research Scientist, Exotic AI
Core
Building the next-generation training and learning platform for physical AI, including models that perceive, reason, and act within structured environments.
Role type
Staff Research Scientist (Physical AI / Exotic AI)
Builds
Scalable training infrastructure, latent world models, action/policy pipelines, generative simulator frameworks, and multimodal generative models.
Domain
Artificial Intelligence, Robotics, Embodied AI, Representation Learning, World Models
Deliverable
production ML models
Required skills
Representation learning, World models, Reinforcement learning, Generative modeling, Robotics/Embodied AI, Scientific ML, Large-scale model training, Distributed compute, System design, Production-quality code
Preferred skills
Latent dynamics modeling, Model-based RL, Physics-informed neural networks, Open-source ML contributions, Scientific/structured modeling, Controllable video generation, Neural simulation environments
Technologies
CLIP, SigLIP, DINO, MAE, I-JEPA, V-JEPA, Dreamer, Cosmos, Genie, Sora, Diffusion models
Responsibilities
Design and build scalable training infrastructure for representation models; Develop latent world models enabling model-based reasoning and planning; Architect and implement action/policy model pipelines; Build generative simulator frameworks producing physically plausible future states; Develop multimodal generative model capabilities; Lead cross-team technical decisions on training frameworks and data pipelines; Drive research-to-production pathways; Contribute to the broader research community through publications and open-source releases.
Seniority
Staff, hands-on IC with strategic direction
