Helix AI Engineer, Robot Learning
Experience 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)
Other Requirements:
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
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
Own the full pipeline from data collection on real robots to model training, evaluation, and deployment
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