🤖 AI Intern – Robot Learning - Imitation Learning, Foundation Models, RL (6-12 months)
LocationMountain View, CA
Work modeon-site
Typeinternship
Company size11+ people
First seen1w ago
Last seen12h ago
All open roles
About the role
AI
🤖 AI Intern – Robot Learning - Imitation Learning, Foundation Models, RL (6-12 months)
Mountain View, CA (On-Site)/Internship
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About the role
Join our AI team to help develop learning and control systems that enable robots to grasp, reorient, and manipulate objects with human-like dexterity. You will work across simulation, data, and robot experiments to turn cutting-edge manipulation research into robust capabilities on real hardware.
Requirements
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01Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field.
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02Strong foundation in training neural networks — you can take a model from idea to a working, debugged result
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03Strong foundation in imitation learning or reinforcement learning
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04Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models
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05Strong Python programming skills and experience with PyTorch, JAX, or a comparable machine-learning framework.
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06Ability to design careful experiments and work with noisy, real-world robotic data.
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07Strong communication skills and enthusiasm for hands-on robotics development.
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08(+) Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab)
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09(+) Familiarity with contact-rich or dexterous manipulation, or tactile sensing
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10(+) Experience deploying learned policies to physical systems.
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11(+) Publications or preprints at robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)
Details & responsibilities
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01Design, train, and evaluate manipulation policies on real hardware
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02Run focused research experiments end-to-end — form a hypothesis, build the ablation, and draw a clear conclusion from noisy real-world results