Job Summary:
Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. They are seeking a Senior Machine Learning Engineer to develop and deploy locomotion policies for legged robotic platforms, owning the full pipeline from simulation training to real-world deployment.
Responsibilities:
• Design, train, and deploy reinforcement learning policies for legged robot locomotion using GPU-parallelized simulation (Isaac Gym / Isaac Lab)
• Develop terrain curriculum and domain randomization strategies that produce policies robust to real-world conditions
• Own the sim-to-real transfer pipeline, identifying and closing 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
Qualifications:
Required:
• 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 (PPO, SAC) and training frameworks (rsl_rl, Stable Baselines, rl_games)
• Hands-on experience with physics simulation (Isaac Gym, MuJoCo, 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
Preferred:
• Experience with bipedal or multi-limbed robotic platforms
• Experience with NVIDIA Isaac Lab or Omniverse
• Publications in top robotics venues (RSS, CoRL, ICRA, IROS)
• Prior work in defense technology or startups
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.