Foundation Models

What You'll Do - 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 What You'll Bring - Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering - Exceptional ownership and initiative—finding and solving problems independently - Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years) - A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail - Production-level expertise in modern Python - Bonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation