Foundation Models
Core
Build end-to-end machine learning models for robotics control, including data curation, model architecture, training/inference stacks, and rigorous experiments.
Role type
Senior IC machine learning engineer (robotics foundation models)
Builds
General-purpose Physical AI systems, embodied perception models, and generative simulation environments
Domain
Robotics, Embodied AI, Generative AI
Deliverable
production ML models
Required skills
Full-stack foundation model research and engineering, data curation, model architecture design, training/inference stack development, rigorous experimental design, Python
Preferred skills
Vision-Language-Action models for robotics, embodied perception, video generation, generative simulation techniques, 3D object/environment modeling, language/code models for task/reward generation
Technologies
Python
Responsibilities
Curate high-quality, diverse, large-scale datasets for embodied perception and robot video generation; Design generative simulation techniques to expand data scale and diversity; Train and evaluate generative models of 3D objects, environments, and language/code models; Collaborate with simulation and real-world robotics teams
Seniority
Senior, hands-on IC