Helix AI Engineer, Reinforcement Learning

What this role involves

Figure is an AI robotics company developing humanoid robots. The Helix AI Engineer, Reinforcement Learning role focuses on designing and implementing RL algorithms for embodied agents, training policies, and building scalable RL systems. The position requires 5 days/week in-office in San Jose, CA, and offers a base salary range of $200,000-$400,000.

Skills this posting asks for

• reinforcement learning
• python
• pytorch
• policy optimization
• value methods
• model-based rl
• distributed training
• simulation
• robotics
• control systems
• embodied ai
• offline rl
• imitation learning
• reward modeling
• human-in-the-loop learning

Requirements

• Level: senior
• Remote policy: onsite

From the employer’s posting

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 H…