Overview
Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI. Design and implement experiments to test new hypotheses and validate research findings. Communicate research findings to an interdisciplinary research team. Prepare technical papers, presentations, and open-source releases of research code. Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or a related STEM field. Research experience in embodied AI, robotic manipulation, AI models, (computer vision), demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals. Hands-on experience with Python and modern deep learning frameworks. Excellent problem-solving skills and the ability to work independently as part of a team. Strong communication skill
Complete internship details
Full Job Description
Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI. Design and implement experiments to test new hypotheses and validate research findings. Communicate research findings to an interdisciplinary research team. Prepare technical papers, presentations, and open-source releases of research code. Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or a related STEM field. Research experience in embodied AI, robotic manipulation, AI models, (computer vision), demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals. Hands-on experience with Python and modern deep learning frameworks. Excellent problem-solving skills and the ability to work independently as part of a team. Strong communication skills and the ability to present complex ideas clearly. Must obtain permission from your academic advisor and commit to at least four months of internship. Proven software engineering skills, evidenced by professional experience, internships, and impactful open-source contributions. Experience with reinforcement learning, imitation learning, or VLA for robotic control. Experience with simulation environments (e.g., Isaac Sim, Mujoco); sim-to-real transfer for robot manipulation is a plus. Familiarity with robotics concepts (e.g., path planning, control theory) is preferred but not required.
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