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About the role

Building environments and training agents, the full-time Robotics Research Engineer will collaborate with external robotics teams to develop simulations, evaluations, and post-training methods using reinforcement learning and multimodal perception, with the flexibility to work remotely or from locations such as San Francisco, London, or New York.
Key responsibilities: Develop simulation and real-world environments for training and evaluation of long-horizon embodied tasks Train agents to adapt and recover from failures while adhering to safety and hardware constraints Implement training loops that integrate offline and online reinforcement learning with feedback mechanisms
Required qualifications: Experience in robotics, embodied AI, reinforcement learning, or related fields Hands-on experience with model training, evaluation, and experimental loops Strong Python programming skills and ability to create shareable artifacts Demonstrated experimental judgment and the ability to adapt based on evidence Proven track record of exceptional work, such as publications or open-source contributions

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