Helix AI Engineer, Robot Learning

Responsibilities

• Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation
• Develop manipulation behaviors such as grasping, pick-and-place, object reorientation, and bimanual manipulation
• Apply and extend techniques including behavior cloning, reinforcement learning, and VLA reasoning
• Own the full pipeline from data collection on real robots to model training, evaluation, and deployment
• Collaborate with perception, controls, systems, and hardware teams to integrate policies into a full autonomy stack
• Write high-quality, well-tested software that runs reliably on physical humanoid robots

Requirements

• Hands-on experience developing and deploying robot learning systems on real robots
• Strong background in robot manipulation and visuomotor control
• Experience with behavior cloning, reinforcement learning, or related learning-based manipulation methods
• Proficiency in Python and/or C++ for robotics and ML systems
• Experience with modern deep learning frameworks such as PyTorch
• Ability to design experiments, analyze failures, and iterate quickly in real-world robotic systems

Preferred Qualifications

• Experience deploying learning-based manipulation systems in commercial or production robotic systems
• Prior work on humanoids or highly dexterous robotic platforms
• Publication record in robot learning, manipulation, or embodied AI
• Experience leading projects or mentoring other engineers

About the Company

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Figure's robots are engineered to perform a variety of tasks in the home and commercial markets.