About the role
structured by ORIAll open rolesAI🤖 AI Intern – Robot Learning - Imitation Learning, Foundation Models, RL (6-12 months)Mountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin our AI team to help develop learning and control systems that enable robots to grasp, reorient, and manipulate objects with human-like…
What you will do
- Design, train, and evaluate manipulation policies on real hardware
- Run focused research experiments end-to-end — form a hypothesis, build the ablation, and draw a clear conclusion from noisy real-world results
- Integrate multimodal sensor streams (RGB, depth, proprioception, tactile) into policy architectures
- Contribute to data collection tools and replay infrastructure for learning from human demonstrations
- Work closely with hardware, AI, and perception engineers to close the loop from sensing to control
What they are looking for
- Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field.
- Strong foundation in training neural networks — you can take a model from idea to a working, debugged result
- Strong foundation in imitation learning or reinforcement learning
- Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models
- Strong Python programming skills and experience with PyTorch, JAX, or a comparable machine-learning framework.
- Ability to design careful experiments and work with noisy, real-world robotic data.
- Strong communication skills and enthusiasm for hands-on robotics development.
Nice to have
- Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab)
- Familiarity with contact-rich or dexterous manipulation, or tactile sensing
- Experience deploying learned policies to physical systems.
- Publications or preprints at robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)
Benefits
- Health Insurance: Health coverage for interns.
- Meals: Lunch and dinner provided.
- Commuter Benefit: Assistance with local transportation costs.
- Snacks and Drinks: Fully stocked office kitchen.
- Immigration Support: TN sponsorship available for eligible candidates.
Full posting text
All open rolesAI🤖 AI Intern – Robot Learning - Imitation Learning, Foundation Models, RL (6-12 months)Mountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin 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.Requirements01Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field.02Strong foundation in training neural networks — you can take a model from idea to a working, debugged result03Strong foundation in imitation learning or reinforcement learning04Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models05Strong Python programming skills and experience with PyTorch, JAX, or a comparable machine-learning framework.06Ability to design careful experiments and work with noisy, real-world robotic data.07Strong communication skills and enthusiasm for hands-on robotics development.08(+) Experience with robot simulators (e.g., MuJoCo, Isaac Gym/Lab)09(+) Familiarity with contact-rich or dexterous manipulation, or tactile sensing10(+) Experience deploying learned policies to physical systems.11(+) 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 control06A Proception employee will reach out directly to schedule additional interviews.07A portfolio is recommended where relevant.08Interview process: two technical interviews and one CEO interview.Compensation & benefits01Health Insurance: Health coverage for interns.02Meals: Lunch and dinner provided.03Commuter Benefit: Assistance with local transportation costs.04Snacks and Drinks: Fully stocked office kitchen.05Immigration Support: TN sponsorship available for eligible candidates.06Career Growth: Strong potential for full-time conversion after the internship.Interested in this role?Applying takes a few minutes — you'll need an account to submit.Apply now