Robotics AI Research Engineer - Imitation & RL (Hybrid)

Agility Robotics; California; Hybrid; USD 166,000 - 260,000; Full time

Benefits offered by this job

401(k) match

Equity stock options

Medical/dental/vision insurance

Disability insurance

Relocation assistance

Tuition reimbursement

Flexible work arrangements

Paid time off

Job summary

Agility Robotics is seeking a researcher to advance imitation learning and reinforcement learning for humanoid robots. You will design, train, and test policies for locomotion and manipulation, and build scalable RL infrastructure and simulators.

Collaboration with software and AI teams will drive production-ready policies. The role requires 3+ years in learning-from-demonstration, strong Python and PyTorch skills, and experience with robotics data collection on hardware.

Qualifications

• 3+ years of experience developing and deploying learning-from-demonstration.
• Strong Python programming with PyTorch experience.
• Experience with demonstrations-based learning and robotics data collection.

Responsibilities

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions.
• Develop core reinforcement learning infrastructure and evaluation pipelines.
• Design and implement new simulation environments for training policies.
• Develop, design, and test imitation learning methods.
• Collaborate with Robotics Software and AI engineering teams to productionize policies.

Skills

Python

PyTorch

DiffusionPolicy

Robot data collection

Collaboration

Education

MS in Robotics, Computer Science, or related field

Job description

Agility Robotics is seeking a researcher to advance imitation learning and reinforcement learning for humanoid robots. You will design, train, and test policies for locomotion and manipulation, and build scalable RL infrastructure and simulators.

Collaboration with software and AI teams will drive production-ready policies. The role requires 3+ years in learning-from-demonstration, strong Python and PyTorch skills, and experience with robotics data collection on hardware.