Helix AI Engineer, Reinforcement Learning

Figure, an AI robotics company, seeks a Reinforcement Learning Engineer to develop core AI systems for humanoid robots. This role involves designing and implementing RL algorithms for embodied agents in simulation and real-world environments, focusing on improving policy performance, robustness, and decision-making. The position requires strong Python and deep learning framework skills, with an emphasis on large-scale experimentation and building scalable training systems.

• Design and implement RL algorithms for embodied agents
• Train policies from interaction, feedback, and experience
• Develop reward modeling, credit assignment, and exploration strategies
• Improve policy robustness in real-world conditions
• Build scalable RL training systems and evaluation frameworks
• Apply RL to robotics, control systems, or embodied AI