Senior Machine Learning Engineer, RL / Locomotion

ABOUT THE TEAM

The Anduril Frontier Systems team is building the next generation of robotic platforms for defense and industrial applications. We are a small, high-performing team of roboticists, ML engineers, and systems engineers delivering real-world capability to operators in the field. Our systems operate in unstructured, contested environments where robustness and reliability are non-negotiable. We seek to deliver validated, integrated capabilities to the Department of Defense and the Intelligence Community.

ABOUT THE JOB

We are seeking a Senior Machine Learning Engineer who specializes in RL / Locomotion to develop and deploy locomotion policies for legged robotic platforms. You will own the full pipeline from simulation training to real-world deployment, building systems that enable robust mobility across challenging terrain - rubble, stairs, slopes, and degraded environments. Your work will directly determine whether our platforms can operate where warfighters need them.

WHAT YOU’LL DO

• 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

REQUIRED QUALIFICATIONS

• 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 QUALIFICATIONS

• 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

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: 

Benefits

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.

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