A research scientist role focused on advancing trustworthy and reliable large behavior models (LBMs) for robotics, particularly in manipulation tasks, to enable general-purpose robots to operate effectively in human environments through cutting-edge machine learning and robotics research.
Key Responsibilities
Conduct research on large behavior models (LBMs) to enable reliable deployment in human environments.
Develop algorithms for policy evaluation, failure detection, mitigation, and active learning in robotics.
Advance the state of the art in embodied machine learning, uncertainty estimation, and robustness for robotic manipulation.
Requirements
A strong background in embodied machine learning and the ability to conduct research independently.
Experience with policy evaluation, failure detection and mitigation, and active learning in the context of Large Behavior Models (LBMs) for robotic manipulation.
Expertise in areas including Multi-Modal Foundation Models, Generative Modeling, Imitation Learning, Reinforcement Learning, Planning Control, Statistics, Uncertainty Estimation, Out-of-Distribution Detection, Safety-Aware Robust Machine Learning, Interactive Learning, and Online Continual Learning.
Experience with robots is preferred, particularly in manipulation.
Ability to work well as part of a larger research team at the cutting edge of state-of-the-art robotics and machine learning.
Benefits & Perks
Salary range between $176,000 and $264,000 per year
Medical, dental, and vision insurance
401(k) eligibility
Paid time off including vacation, sick leave, and parental leave
Annual cash bonus
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