🤖 AI Intern – Robot Learning - Imitation Learning, Foundation Models, RL (6-12 months)

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

• 01Pursuing 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 result
• 03Strong foundation in imitation learning or reinforcement learning
• 04Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models
• 05Strong 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 sensing
• 10(+) Experience deploying learned policies to physical systems.
• 11(+) Publications or preprints at robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)

Details & responsibilities

• 01Design, train, and evaluate manipulation policies on real hardware
• 02Run focused research experiments end-to-end — form a hypothesis, build the ablation, and draw a clear conclusion from noisy real-world results
• 03Integrate multimodal sensor streams (RGB, depth, proprioception, tactile) into policy architectures
• 04Contribute to data collection tools and replay infrastructure for learning from human demonstrations
• 05Work closely with hardware, AI, and perception engineers to close the loop from sensing to control
• 06A 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 & benefits

• 01Health 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.