Senior ML Engineer (AI Research, Physical AI)

Über diese Stelle

Our Physical AI research aims to build intelligent agents that can perceive, reason, and act in the physical world. Research areas include: Vision-language-action models for general-purpose robotic control Reinforcement and imitation learning from human demonstrations, simulation, and real-world experience Scalable collection, generation, and curation of multimodal embodied data Simulation, world models, and sim-to-real transfer Multimodal sensing, including vision, touch, force, and proprioception You will modify large foundation models and learning algorithms for robotic agents, prototype new capabilities in simulation, and validate promising approaches on real-world systems.…

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