Lead Humanoid AI Research Engineer (RL & Imitation)

Agility Robotics; Salem (OR); Hybrid; USD 195,000 - 304,000; Full time

Benefits offered by this job

401(k) matching

Equity

Health insurance

Benefits start day

Work-life flexibility

Unlimited PTO

Salem lunches

Job summary

Agility Robotics is seeking a talented AI scientist to advance humanoid robot learning. You will design, train, and test policies for locomotion and manipulation on real hardware, and run experiments on humanoid robots to push the state of the art.

This hybrid role based in Salem, Pittsburgh, or Fremont offers collaboration with robotics software and AI teams, scalable RL pipelines, and opportunities to deploy safe, high‑quality software in production.

Qualifications

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks

Responsibilities

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

Skills

Python

PyTorch

Imitation Learning

Reinforcement Learning

Robotics

Education

MS in Robotics, Computer Science, or related field

Tools

DiffusionPolicy

Job description

Agility Robotics is seeking a talented AI scientist to advance humanoid robot learning. You will design, train, and test policies for locomotion and manipulation on real hardware, and run experiments on humanoid robots to push the state of the art.

This hybrid role based in Salem, Pittsburgh, or Fremont offers collaboration with robotics software and AI teams, scalable RL pipelines, and opportunities to deploy safe, high‑quality software in production.