Helix AI Engineer, Robot Learning

Job description

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. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a **Helix AI Engineer, Robot Learning** with a strong robotics learning background to help develop and improve our **visuomotor manipulation policies**, with a heavy emphasis on **real-robot deployment**. ### **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, door opening, bimanual manipulation, and basic assembly - Apply and extend techniques including **behavior cloning, reinforcement learning, and VLA reasoning** - Train models that are robust to real-world challenges such as sensor noise, partial observability, contact dynamics, and environment variability - Own the full pipeline from **data collection on real robots** to model training, evaluation, and deployment - Work closely with simulation and digital twin tooling where useful, while prioritizing **real-world performance and transfer** - Collaborate with perception, controls, systems, and hardware teams to integrate policies into a full autonomy stack - Evaluate tradeoffs between learning-based and classical approaches and make principled design decisions - Write high-quality, well-tested software that ships to and runs reliably on physical humanoid robots - Partner with integration and testing teams to continuously improve robustness, performance, and deployment velocity ### **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 (e.g., PyTorch) - Ability to design experiments, analyze failures, and iterate quickly in real-world robotic systems - Solid understanding of the tradeoffs between classical robotics approaches and learning-based methods - Thrive in fast-paced, ambiguous environments where solutions require exploration and ownership ### **Bonus 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 - Passion for building autonomous humanoid robots that operate in the real world The US base salary range for this full-time position is between $200,000 - $400,000. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.