Senior Research Scientist, Large Behavior Models
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The role
Lead the development of embodied machine learning to enable general-purpose robot behaviors across diverse tasks and real-world environments.
Design and optimize high-performance ML pipelines for scalability, efficiency, and robust deployment on embodied systems.
Advance state-of-the-art learning in vision-language-action models, reinforcement learning, and perception for robotic manipulation.
Collaborate with internal researchers and partner labs at MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive research at scale.
Balance rapid prototyping with production-grade software in Python and C++, ensuring clean design, testing, and cloud-based training.
Contribute to open-source software and high-impact publications that shape the future of robotic capabilities.
Design and optimize high-performance ML pipelines for scalability, efficiency, and robust deployment on embodied systems.
Advance state-of-the-art learning in vision-language-action models, reinforcement learning, and perception for robotic manipulation.
Collaborate with internal researchers and partner labs at MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive research at scale.
Balance rapid prototyping with production-grade software in Python and C++, ensuring clean design, testing, and cloud-based training.
Contribute to open-source software and high-impact publications that shape the future of robotic capabilities.
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