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

Proception Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 34,000 - 52,000; Full time

Benefits offered by this job

Health Insurance

Meals provided

Commuter benefits

Snacks & drinks

Immigration support (TN)

Career growth potential

Job summary

Proception Inc. in Mountain View, CA is offering an internship on our AI team to advance manipulation research with real hardware. You will work across simulation, data, and robot experiments.

You will design, train, and evaluate manipulation policies, run focused experiments from hypothesis to conclusions, and contribute to data collection tools and replay infrastructure. Collaboration with hardware, AI, and perception engineers is expected, and a portfolio is recommended; strong performance

Qualifications

• Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or related field.
• Strong foundation in training neural networks and taking models to working results.
• Strong foundation in imitation learning or reinforcement learning.
• Experience with vision-based policy learning and related models.
• Strong Python programming skills and experience with PyTorch, JAX, or similar ML frameworks.
• Ability to design careful experiments and work with noisy real-world robotic data.
• Strong communication skills and enthusiasm for hands-on robotics development.
• Experience with robot simulators such as MuJoCo or Isaac Gym/Lab.
• Familiarity with contact-rich or dexterous manipulation or tactile sensing.
• Experience deploying learned policies to physical systems.
• Publications or preprints in robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR).

Responsibilities

• Design, train, and evaluate manipulation policies on real hardware.
• Run focused research experiments end-to-end—from hypothesis to ablation to conclusion.
• Contribute to data collection tools and replay infrastructure for learning from demonstrations.
• Work closely with hardware, AI, and perception engineers to close the loop from sensing to control.
• A Proception employee will reach out directly to schedule additional interviews.
• A portfolio is recommended where relevant.
• Interview process: two technical interviews and one CEO interview.

Skills

Neural network training

Imitation learning

Reinforcement learning

Vision-based policy learning

Python expertise

Experiment design

Communication skills

Robotics fundamentals

Experience with real hardware

Publications in ML/robotics

Education

Pursuing BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or related field

Tools

PyTorch

JAX

MuJoCo

Isaac Gym/Lab

Job description

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

• 01 Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field.
• 02 Strong foundation in training neural networks — you can take a model from idea to a working, debugged result
• 03 Strong foundation in imitation learning or reinforcement learning
• 04 Experience with vision-based policy learning — diffusion policies, 3D policies, vision-language-action models, video action models
• 05 Strong Python programming skills and experience with PyTorch, JAX, or a comparable machine-learning framework.
• 06 Ability to design careful experiments and work with noisy, real-world robotic data.
• 07 Strong 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

• 01 Design, train, and evaluate manipulation policies on real hardware
• 02 Run focused research experiments end-to-end — form a hypothesis, build the ablation, and draw a clear conclusion from noisy real-world results
• 04 Contribute to data collection tools and replay infrastructure for learning from human demonstrations
• 05 Work closely with hardware, AI, and perception engineers to close the loop from sensing to control
• 06 A Proception employee will reach out directly to schedule additional interviews.
• 07 A portfolio is recommended where relevant.
• 08 Interview process: two technical interviews and one CEO interview.
• 01 Health Insurance: Health coverage for interns.
• 02 Meals: Lunch and dinner provided.
• 03 Commuter Benefit: Assistance with local transportation costs.
• 04 Snacks and Drinks: Fully stocked office kitchen.
• 05 Immigration Support: TN sponsorship available for eligible candidates.
• 06 Career Growth: Strong potential for full-time conversion after the internship.