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Path Robotics is looking for a machine learning engineer to join an early robot-learning team focused on whole-body loco-manipulation. You will work on learning systems and a research stack for precision tasks in heavy manufacturing, shaping the problem definitions as the team forms.
This hands-on role involves building models, leveraging visual reasoning and reinforcement learning, and using real production data to tune robot behavior.
Path Robotics is hiring a machine learning engineer as an early member of a robot-learning team focused on whole-body loco-manipulation. The posting names visual reasoning, learned action policies, reinforcement-learning fine-tuning, and real customer data.
This is a hands-on research engineering role for precision work in heavy manufacturing. The draw is the chance to build a research stack while the problem definition is still forming.
This is one of the more specific robot-learning postings in the current scan. Loco-manipulation for heavy manufacturing is a hard, concrete problem where better learned policies could change what industrial robots can do.