Robot Learning Intern (Phd)

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. 

We are looking for an enthusiastic Robot Learning Intern (PhD) to join our team and contribute to the development of cutting-edge AI systems for industrial robotic applications. This internship is ideal for students passionate about robotics and machine learning, and eager to apply their skills to real-world challenges. As part of our Robot Learning team, you will work on developing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots while collaborating with experienced professionals in a supportive and innovative environment. As a result of this program, we are targeting publications at RSS, CoRL, ICRA, and other top-tier robotics and computer vision conferences.  

The role will be located in our Columbus, Ohio headquarters. Ideally looking for students who can work full time for 12 weeks during summer 2025 (May- August)

What You’ll Do

• Design and implement new capabilities in Robot Learning with imitation learning, reinforcement learning, and diffusion models for solving contact-rich and fine-grained robotic tasks.
• Work with multi-modal data, including image data, force, and torque, to enhance robotic manipulation and control.
• Work on fleet learning and continuous learning processes for robotic systems.
• Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.

Who You Are

• Currently pursuing a Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Strong foundation in robotics and machine learning techniques, especially in manipulation and control.
• Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo) and programming languages such as Python or C++.
• Experience with training large models
• Familiar with state-of-the-art research in robot learning 
• Enthusiasm for learning, problem-solving, and collaborating with cross-functional teams.
• Strong communication skills and ability to work in a fast-paced, hands-on environment.

What You’ll Gain

• Hands-on experience working on cutting-edge robotics and machine learning technologies.
• Mentorship from industry experts in robotics and AI.
• Opportunities to contribute to impactful projects that shape the future of industrial automation.