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Senior AI Software Engineer, Reinforcement Learning

Agility Robotics

Salem, OR · RemoteFull-time$187,000 – $292,000 / yearly
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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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