Helix AI Engineer, Reinforcement Learning

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Reinforcement Learning to develop learning systems that enable robots to acquire skills through interaction, feedback, and experience. This role focuses on applying and advancing reinforcement learning across simulation and real-world environments—improving policy performance, robustness, and long-horizon decision-making in embodied systems. Responsibilities: - Design and implement reinforcement learning algorithms for embodied agents operating in real-world and simulated environments - Train policies that learn from interaction, feedback, and large-scale experience across diverse tasks - Develop reward modeling, credit assignment, and exploration strategies for complex, long-horizon behaviors - Improve policy robustness to real-world challenges such as noise, partial ob...