Design, train, and evaluate scalable algorithms for robotic agents, with a specific focus on post-training, self-improvement, and mastery. Leverage your experience to participate in a wide variety of other research themes in the context of robotics foundation models and physical agents (e.g. VLAs, WAMs, imitation learning, simulation-based learning, whole body control, dexterity, and more). Develop scalable research pipelines and write robust software to test hypotheses quickly and conduct research at pace.
Collaborate within a fast-paced team to execute ambitious research goals. Generate creative ideas, set up experiments and test hypotheses, reporting and presenting research findings clearly and efficiently both internally and externally.
Job description provided by Google.
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