Machine Learning Engineer, Robot Learning, Loco-Manipulation
Core
Building a robot-learning stack for whole-body loco-manipulation in heavy manufacturing, enabling robots to perform precision tasks through visual reasoning and learned action policies.
Role type
Founding Machine Learning Engineer (Robot Learning)
Builds
Robot-learning stack including training infrastructure, data pipelines, simulation environments, and deployment workflows for cobots and mobile platforms.
Domain
Robotics, Heavy Manufacturing, Embodied AI
Deliverable
production ML models
Required skills
Robot learning policy training, Sim-to-real transfer, Diffusion/flow-matching action generation, Reinforcement learning on real hardware, Python, PyTorch, NVIDIA Isaac Sim/MuJoCo, Physical robot debugging
Preferred skills
Edge inference (TensorRT/ONNX), Visual self-supervised representation learning, Legged-robot/whole-body control, Physics-informed ML
Responsibilities
Design training infrastructure and data pipelines, Train policies for manipulation and locomotion, Deploy models in phased production rollouts, Collaborate with mechanical and perception engineers
Seniority
Senior, hands-on IC (Founding member)
