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Senior Machine Learning Engineer, RL / Locomotion

2 weeks, 6 days ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Machine Learning Python PyTorch Reinforcement Learning
Apply Now
Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised
View All Jobs 651

Description

  • Design, train, and deploy reinforcement learning policies for legged robot locomotion using GPU-parallelized simulation.
  • Develop terrain curricula and domain randomization strategies to improve real-world robustness.
  • Own the sim-to-real transfer pipeline and identify ways to close reality gaps.
  • Train policies for stair climbing, rough terrain traversal, payload carry, push recovery, and fall recovery.
  • Define and evaluate performance metrics for locomotion robustness.
  • Collaborate with manipulation and perception engineers to integrate locomotion into a full autonomy stack.
  • Build systems that enable robust mobility across rubble, stairs, slopes, and degraded environments.

Requirements

  • 3-8+ years of experience with reinforcement learning for legged or mobile robots.
  • Strong background in dynamics, control, and robot locomotion.
  • Experience with RL algorithms such as PPO and SAC and training frameworks such as rsl_rl, Stable Baselines, or rl_games.
  • Hands-on experience with physics simulation tools such as Isaac Gym, MuJoCo, or PyBullet.
  • Demonstrated sim-to-real transfer on physical robotic systems.
  • Proficiency in Python and PyTorch.
  • Eligible to obtain and maintain a U.S. security clearance.
  • Experience with bipedal or multi-limbed robotic platforms is preferred.
  • Experience with NVIDIA Isaac Lab or Omniverse is preferred.
  • Publications in top robotics venues such as RSS, CoRL, ICRA, or IROS are preferred.
  • Prior work in defense technology or startups is preferred.

Benefits

  • Base salary range of $220,000 to $336,000 USD.
  • Highly competitive equity grants are included in the majority of full-time offers.
  • Comprehensive, competitive benefits package available at little to no cost to employees.
  • Support for health, recovery, and other employee needs.
  • Additional total compensation components may vary based on experience, education, training, and other business considerations.

Interested in this position?

Apply directly on the company website

Apply Now

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