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Develop and improve machine learning models and infrastructure for humanoid robot manipulation. Monitor and evaluate model performance on real robots, and collaborate on the ML software stack supporting manipulation, navigation, locomotion, and perception.

Design and implement advanced dexterous manipulation algorithms for high-DOF humanoid robots, integrate perception-to-control pipelines, develop digital twins in simulation, perform rigorous sim-to-real testing, and collaborate with ML teams to train and deploy models for complex manipulation tasks.