Senior AI Research Engineer (Humanoid Robots)

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

Job summary

Agility Robotics is seeking a skilled robotics ML engineer to develop and test imitation and reinforcement learning methods for humanoid robots. You will run experiments on hardware, design training pipelines, and collaborate with software and AI teams to bring research into production.

Ideal candidates have 3+ years in learning-from-demonstration, strong Python and PyTorch skills, and hands-on robotics experience with simulation tools such as Mujoco or Isaac Sim.

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 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.

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

Reinforcement Learning

Imitation Learning

Deep Learning

PyTorch

Robotics

Education

MS in Robotics

MS in Computer Science

Tools

Mujoco

Isaac Sim

Job description

Agility Robotics is seeking a skilled robotics ML engineer to develop and test imitation and reinforcement learning methods for humanoid robots. You will run experiments on hardware, design training pipelines, and collaborate with software and AI teams to bring research into production.

Ideal candidates have 3+ years in learning-from-demonstration, strong Python and PyTorch skills, and hands-on robotics experience with simulation tools such as Mujoco or Isaac Sim.