Principal Research Scientist, Robot Foundation Models
Core
Building foundation models for general-purpose robots (mobile manipulators, dual-arm platforms, humanoids) to perceive, reason, move, and manipulate the physical world.
Role type
Principal Research Scientist (Robotics Foundation Models)
Builds
Scalable data flywheels, new model architectures, learning algorithms, and policies deployed on real robots.
Domain
Robotics, Embodied AI, Foundation Models
Deliverable
production ML models
Required skills
Machine learning, vision-language models, video models, robot policies, foundation models for robotics, scalable training, modern ML frameworks, research track record, coding
Preferred skills
Experience translating research to deployed systems, influencing technical direction
Technologies
PyTorch, distributed training pipelines, reinforcement learning, behavioral cloning, video generation
Responsibilities
Research architectures and data for robot foundation models; Implement and experiment with VLAs, WAMs, omni-modal models, and video models; Develop learning approaches (RL, BC); Synthesize and filter large-scale video datasets; Build scalable distributed training pipelines; Collaborate with engineering and robotics teams to connect research to real-world performance.
Seniority
Principal, 0-to-1 ownership & strategy
