AI Engineer (RL & WBC)

About the Company

Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.

Responsibilities

• Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots
• Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation
• Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software
• Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization
• Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability
• Contribute to the continuous development of our in-house RL training pipelines and tooling

Requirements

• 2+ years of experience in machine learning and reinforcement learning applied to robotics or similar real-time environments
• Hands-on experience with physics simulation environments like MuJoCo or Isaac Lab
• Proficiency in Python and C++ for algorithm development and deployment
• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow
• Familiarity with ROS/ROS2 and real-time robotic systems
• Strong software development experience including CI/CD and unit testing
• Strong understanding of classical and modern control theory and locomotion dynamics
• Experience deploying RL algorithms on physical robots
• Experience with high-performance computing for distributed training
• M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field

Preferred Qualifications

• Contributions to open-source RL, ML, or robotics projects