Figure is developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world
Job Summary
Figure is developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world.
The Helix team is responsible for developing core AI systems for humanoid autonomy, focusing on reinforcement learning for skill acquisition.
This role requires 5 days/week in-office collaboration in San Jose, CA, and involves designing and implementing RL algorithms for embodied agents in real-world and simulated environments.
Matching Summary
Figure is developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world.
Skills & Requirements
Must-have
Reinforcement learning algorithms
Embodied agents
Python and PyTorch
Large-scale experimentation
Distributed training systems
Solid software engineering skills
Nice-to-have
RL to robotics
Large-scale RL infrastructure
Offline RL, imitation learning
Reward modeling, human-in-the-loop
Leading AI labs experience
Robotics systems, simulation environments
Key Requirements
Experience developing and applying RL algorithms
Strong understanding of RL fundamentals
Experience training policies in simulation/real-world