Machine Learning Engineer, Robot Learning

Path Robotics • Columbus, OH

8d

About The Position

Path Robotics is seeking a skilled and motivated Machine Learning Engineer to join its Robot Learning team and build agentic AI systems for industrial applications. The role focuses on modern robotics and manipulation, including developing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. The engineer will collaborate with cross-functional teams to design, test, and deploy solutions that improve robotic-system performance and capabilities.

Requirements

• Ph.D. or master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Proven track record of publishing at top conferences such as NeurIPS, ICLR, ICML, CoRL, or RLC.
• Experience with robotic simulation tools such as Isaac Sim or MuJoCo.
• Experience applying machine learning techniques 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 C++ or Python.
• Proven track record of deploying scalable solutions for autonomous robotic systems.
• Strong communication skills and ability to convey complex technical concepts to diverse audiences.

Responsibilities

• Develop and deploy behavioral cloning, reinforcement learning, and diffusion models to solve complex robotic tasks.
• Use multimodal data, including image-based data, force, and torque, to improve robotic manipulation and control.
• Design and implement vision-language-action models for more intelligent and responsive robotic systems.
• Develop strategies for the solution lifecycle, including data collection, fleet learning, and continuous learning.
• Develop, optimize, and deploy learning-based robot-control and object-manipulation algorithms across a fleet of industrial robotic cells.
• Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
• Stay up to date with advances in robotics, control theory, and planning algorithms.

Benefits

• Daily free lunch.
• Flexible paid time off.
• Comprehensive medical, dental, and vision coverage.
• Six weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total).
• 401(k) retirement plan through Empower.
• Employee referral bonuses.

What This Job Offers

• Job Type: Full-time