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Machine Learning Engineer, Robot Learning

Path Robotics· Engineering
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full-timePosted 2mo ago

About the role

Machine Learning Engineer focused on robotics and manipulation to build agentic AI systems for industrial applications, including behavioral cloning, reinforcement learning, diffusion models, and vision-language-action models for autonomous robotic platforms.

Responsibilities

  • Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
  • Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
  • Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
  • Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
  • Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
  • Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
  • Stay updated with the latest advancements in robotics, control theory, and planning algorithms.

Qualifications

  • Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Experience with machine learning techniques applied to robot manipulation.
  • Experience building models from scratch and deploying them in real-world applications.
  • Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
  • Strong programming skills in languages such as C++ or Python.
  • Proven track record of deploying scalable solutions for autonomous robotic systems.
  • Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.

Benefits

  • Daily free lunch
  • Flexible PTO
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses
Last updated Aug 7, 2026. Interested? Apply on the company site.

About Path Robotics

Path Robotics | Physical AI for Manufacturing

Path Robotics – Physical AI for manufacturing. Obsidian, our foundational AI, powers Path's Intelligent Welding Cells and Rove. 4x productivity, 30%+ lower cost, $0 capex.

Welding CellsRoveObsidianPhysical AIManufacturingAutomation
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