What You'll Do
Develop and optimize the training and inference stack for Vision-Language-Action foundation models in robotics
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 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
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