Embodied AI RL Engineer for Robotic Autonomy

Figure; San Jose (CA); On-site; CAD 120,000 - 180,000; Full time

Job summary

Figure, an AI robotics company, seeks a Helix AI Engineer, Reinforcement Learning, to advance embodied autonomy for humanoid robots. The role emphasizes applying RL to both simulated and real-world environments and collaborating across teams to improve policy performance and robustness.

You will work on scalable RL training systems, evaluation frameworks, and cross-team integration to push long-horizon decision-making in embodied systems. This is a senior, in-office role centered in Canada.

Qualifications

• Experience developing and applying reinforcement learning algorithms in complex environments.
• Proficiency in Python and PyTorch.
• Experience with large-scale experimentation and distributed training.

Responsibilities

• Design and implement reinforcement learning algorithms for embodied agents in real-world and simulated environments.
• Train policies from interaction, feedback, and large-scale experience across diverse tasks.
• Develop reward modeling and exploration strategies for long-horizon behaviors.

Skills

Reinforcement learning

Python

PyTorch

RL fundamentals

Distributed training

Robotics

Software engineering

Job description

Figure, an AI robotics company, seeks a Helix AI Engineer, Reinforcement Learning, to advance embodied autonomy for humanoid robots. The role emphasizes applying RL to both simulated and real-world environments and collaborating across teams to improve policy performance and robustness.

You will work on scalable RL training systems, evaluation frameworks, and cross-team integration to push long-horizon decision-making in embodied systems. This is a senior, in-office role centered in Canada.