Senior Machine Learning Engineer, RL / Locomotion
Role details
Job location
Tech stack
Job description
- 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, To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
- No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
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 (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, * 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
Benefits & conditions
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including, At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .