Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments
Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets
Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation
Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions
Collaborate with a team of driven individuals committed to building general-purpose Physical AI