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Senior AI Software Engineer, Reinforcement Learning
Agility Robotics
Salem, OR · RemoteFull-time$187,000 – $292,000 / yearly
Job details
Pay
$187,000 – $292,000 / yearly
Job type
Full-time
Work setting
Remote / Hybrid
Location
Salem, OR
Posted
Posted 2 months ago
Full job description
The AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. Develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation, integrating perception for collision-free, perceptive motion in the real world.
- Design, train, and deploy robust RL policies for locomotion, manipulation, and whole-body control
- Integrate perception into RL policies for obstacle-aware, collision-free motion
- Develop and maintain core RL infrastructure: scalable training pipelines and evaluation frameworks
- Design new simulation environments and tasks for training and evaluation
- Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit
Hybrid position based out of the Salem, Pittsburgh, or Fremont office.
Qualifications
- 4+ years developing and deploying RL policies for robotics applications
- Strong Python skills and hands-on experience with PyTorch or similar
- Experience designing reward functions, tuning hyperparameters, and exploration strategies
- Proven experience deploying RL policies on real bipedal or quadrupedal robots
- Familiarity with robot simulation (Mujoco-Warp, Isaac) and sim-to-real transfer
RoboticsAI
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