We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.
Responsibilities:
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Train foundation models for robotics, utilizing architectures similar to RT-X.
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Align text-based reasoning processes with low-level robotic control policies.
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Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
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Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
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Document and present research findings at internal and external conferences.
Qualifications:
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PhD or equivalent research experience in Deep Learning and Robotics.
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Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
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Practical experience with imitation learning and behavior cloning techniques.
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Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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Excellent problem-solving skills and the ability to work independently and as part of a team.