Hybrid AI Robotics Research Engineer: Imitation Learning

Remote Genie; Salem, Pittsburgh, Fremont (OR, Allegheny County, CA); Hybrid; USD 166,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

401(k) with company match

Medical, dental, vision insurance

Paid parental leave

Relocation assistance

Annual discretionary bonus

Unlimited PTO (exempt)

Job summary

Agility Robotics seeks a talented AI/Robotics engineer to develop and test cutting-edge imitation learning and reinforcement learning methods for humanoid robots. You’ll run experiments on hardware, design training pipelines, and build production-ready policies for locomotion and manipulation.

The role blends research with practical implementation, collaborating with software and AI teams to transfer solutions into production.

Qualifications

• 3+ years of experience developing and deploying learning-from-demonstration.
• Strong programming in Python, with PyTorch experience.
• Experience with learning-from-demonstration tools like DiffusionPolicy.
• Experience with robot data collection, training, and testing on hardware for manipulation tasks.
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.
• MS in Robotics, Computer Science, or a related field.

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

DiffusionPolicy

Robot data collection

Collaboration

Education

MS in Robotics, CS, or related field

Tools

Mujoco

Isaac Sim

Job description

Agility Robotics seeks a talented AI/Robotics engineer to develop and test cutting-edge imitation learning and reinforcement learning methods for humanoid robots. You’ll run experiments on hardware, design training pipelines, and build production-ready policies for locomotion and manipulation.

The role blends research with practical implementation, collaborating with software and AI teams to transfer solutions into production.