Research Scientist, Reinforcement Learning - Atlas

We are seeking a Research Scientist to develop cutting-edge reinforcement learning (RL) solutions that run directly on our humanoid platforms. You will design, train, and deploy RL policies that combine whole-body movement and dexterous manipulation to solve complex tasks in unstructured environments.

Requirements

• 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

Benefits

• Direct access to cutting-edge humanoid robots and the infrastructure to run large-scale RL experiments
• A highly collaborative, mission-driven team where your work has immediate impact
• The opportunity to define state-of-the-art humanoid capabilities and shape the future of real-world robotics