AI Engineer III

Agility Robotics

full-time

Posted on: 9/4/2025

Location: Oregon • 🇺🇸 United States

✨ AI Apply

Mid-LevelSenior

PythonPyTorch

About the role

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
Run experiments on humanoid robots and research and implement methods which can be transferred into production.

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 modern learning-from-demonstration tools like DiffusionPolicy
Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.
Bonus Qualifications: Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
Bonus Qualifications: Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
Bonus Qualifications: Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
Bonus Qualifications: Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
Bonus Qualifications: Experience with writing performant, high quality software in C++