🚀 Research Intern (MS/PhD, 6–12 months) – Robot Learning - Imitation Learning, Foundation Models, RL

All open rolesAI🚀 Research Intern (MS/PhD, 6–12 months) – Robot Learning - Imitation Learning, Foundation Models, RLMountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin our research team to work on learning-based control and perception for real-world robot manipulation. You'll train and evaluate manipulation policies, build the data and evaluation infrastructure behind them, and run experiments that go all the way from an idea to a robot doing something new. We care more about your ability to train models that work than about any particular robot, task, or sensor you've used before.Requirements01Currently enrolled in an MS or PhD program in Robotics, Computer Science, Machine Learning, or related field02Strong foundation in training neural networks — you can take a model from idea to a working, debugged result03Strong foundation in imitation learning or reinforcement learning04Proficiency in Python and at least one deep learning framework (PyTorch, JAX)05Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models06(+) Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab)07(+) Hands-on experience with robot hardware, real-world data collection, or sim2real adaptation08(+) Familiarity with contact-rich or dexterous manipulation, or tactile sensing09(+) Publications or preprints at robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)Details & responsibilities01Design, train, and evaluate manipulation policies on real hardware02Run focused research experiments end-to-end — form a hypothesis, build the ablation, and draw a clear conclusion from noisy real-world results03Integrate multimodal sensor streams (RGB, depth, proprioception, tactile) into policy architectures04Contribute to data collection tools and replay infrastructure for learning from human demonstrations05Work closely with hardware, AI, and perception engineers to close the loop from sensing to controlCompensation & benefits01Paid internship with competitive compensation02Work on cutting-edge problems in robot learning and manipulation03Mentorship from researchers and engineers working at the frontier of embodied intelligence04Access to real robot hardware and large-scale robot datasets05Opportunity to publish or contribute to high-impact research alongside product-driven developmentInterested in this role?Applying takes a few minutes — you'll need an account to submit.Apply now