In this role, you will design, train, and deploy RL policies that combine whole-body movement and dexterous manipulation to solve complex tasks in unstructured environments. You'll work with a world-class team of roboticists and have rare, direct access to our physical Atlas robots and large-scale simulation infrastructure.
What You'll Do- Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks.
- Develop high-quality Python and C++ code that is tested, documented, and production-ready.
- Build and leverage high-fidelity simulation environments (e.g., Isaac Sim, MuJoCo) to validate RL policies before deploying on hardware.
- Integrate learned policies with Atlas's control and software stack through close collaboration with controls and platform teams.
- Deploy, debug, and iterate policies directly on real Atlas hardware through hands-on experimentation.
- Participate in design reviews, experimental planning, and team-wide research direction.
We're Looking For- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Strong experience training and deploying RL policies for complex behaviors in robots or simulated agents.
- Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, RLlib).
- Strong foundations in algorithms, debugging, performance optimization, and robotics fundamentals (kinematics, dynamics).
- Excellent Python and C++ programming skills and experience contributing to production-scale software.
Nice to Have- PhD or equivalent research experience in reinforcement learning or robotic manipulation.
- Experience deploying RL policies on physical robots.
- Experience developing locomotion, bimanual manipulation, or whole-body control behaviors.
- Contributions to large software projects or open-source ML/robotics frameworks.
- Publications in top-tier robotics or ML conferences (e.g., CoRL, RSS, ICRA, NeurIPS).
The base pay range for this position is between $175,000 to $230,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment. We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.
