Research Scientist, Robot Foundation Model
Core
Building foundation models for general-purpose robots to enable perception, reasoning, movement, and manipulation across diverse embodiments.
Role type
Senior IC research scientist (robot foundation models)
Builds
Intelligent agents capable of acting in the physical world using foundation models
Domain
Robotics + Foundation Models + Embodied AI
Deliverable
production ML models
Required skills
machine learning, vision-language models, video models, robot policies, foundation models for robotics, embodied AI, scalable training, multi-node training, large dataset handling, modern ML frameworks, experimental design, research-to-system translation
Preferred skills
PhD or MS in CS/ML/Robotics/CV, industry experience in ML/robotics/embodied AI, real robot experience, simulation experience, sequential decision-making expertise
Technologies
distributed training infrastructure, large-scale video datasets, robotic platforms
Responsibilities
Research model architectures and learning approaches for robot foundation models; Design and evaluate models like VLAs, WAMs, and omni-modal models; Develop learning approaches including reinforcement learning and behavioral cloning; Synthesize and curate large-scale video datasets; Build scalable distributed training pipelines; Collaborate with engineering and robotics teams to deploy policies on physical robots; Communicate research findings internally and externally
Seniority
Senior, hands-on IC