Figure · 11 hours ago
Helix AI Engineer, Robot LearningNew
San Jose, CA
Full-time
Onsite
Mid, Senior LevelFigure is an AI robotics company developing autonomous general-purpose humanoid robots. The Helix AI Engineer, Robot Learning will focus on developing and improving visuomotor manipulation policies, emphasizing real-robot deployment.
Artificial Intelligence (AI)HardwareIndustrial AutomationRobotics
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
Qualification
Required
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
Preferred
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
Company
Figure
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots.
Founded in 2022
201-500 employees
H1B Sponsorship
Figure has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (2)
2022 (2)
Funding
Current Stage
Growth StageTotal Funding
$1.85BKey Investors
Parkway Venture CapitalIntel CapitalBrett Adcock
2025-09-16Series C· $1B
2024-02-24Series B· $675M
2023-07-17Series Unknown· $9M
Leadership Team
Brett Adcock
Founder
Recent News
legacy.thefly.com
2026-01-23
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