Senior Reinforcement Learning Robotics Engineer

Agility Robotics; California (MO); Hybrid; USD 187,000 - 292,000; Full time

Benefits offered by this job

401(k) Plan

Equity stock options

Medical, dental, vision insurance

Flexible work arrangements

Relocation assistance

Annual discretionary bonus

On-site catered lunches

Job summary

Agility Robotics in the United States is seeking an AI Controls Engineer to advance reinforcement learning for Digit. You will design, train, and deploy policies for locomotion, manipulation, and whole-body control in dynamic environments, with perception integrated for safe, adaptive behavior.

This hybrid, US-based role offers collaboration with on-robot teams and access to world-class robotics infrastructure, with competitive rewards and growth opportunities at Agility.

Qualifications

• 4+ years of experience developing and deploying RL policies for robotics.
• Strong Python skills and hands-on experience with PyTorch.
• Experience designing reward functions and tuning hyperparameters.
• Experience with perception-in-the-loop control using real-time sensory inputs.
• Proven experience deploying reinforcement learning policies on real-world robots.
• Familiarity with robotics simulators (MuJoCo-Warp, Isaac) and sim-to-real transfer.

Responsibilities

• Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
• Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
• Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and evaluation of control policies.
• Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

Skills

RL policies

Python

PyTorch

Perception-in-loop

Robotics deployment

Real-world RL

Education

MS/PhD in Robotics or CS

Tools

Mujoco-Warp

Isaac

Job description

Agility Robotics in the United States is seeking an AI Controls Engineer to advance reinforcement learning for Digit. You will design, train, and deploy policies for locomotion, manipulation, and whole-body control in dynamic environments, with perception integrated for safe, adaptive behavior.

This hybrid, US-based role offers collaboration with on-robot teams and access to world-class robotics infrastructure, with competitive rewards and growth opportunities at Agility.