PR
Path Robotics
ML Engineer

Machine Learning & Robotics Internship 2027

On-siteJuniorML Engineerposted 5d ago
✦Role summaryAI-generated

This internship offers 12 weeks of hands‑on experience building software for robotic systems that sense, plan, and act in real production environments. You’ll work with a mentor on projects that blend machine learning and robotics, seeing your code run on live robotic cells.

Skills required

About this role

Build the Path Forward

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 does the impossible every single day, yet remains incredibly kind, humble, and always ready to support one another.

We’re looking for a Machine Learning & Robotics Intern to spend 12 weeks next spring or summer building real software for robots that sense, plan, and act. Whether your background leans toward robotics (planning, control, kinematics) or machine learning (perception, reinforcement learning, deep learning), we’ll match you with a project that fits your strengths — and you’ll see your code run on live robotic cells doing real work. You’ll be paired with a mentor and work alongside our Robotics and Weld Intelligence teams from day one.

What You’ll Do

Every intern owns a scoped, production-relevant project from design through testing on real hardware, then presents results to the team at the end of the summer. Depending on your interests, your project could include:

  • Robotics: motion and trajectory planning, inverse kinematics and reachability, real-time control and feedback loops, visual servoing, or localization and navigation for mobile platforms.
  • Machine learning: vision-based perception, reinforcement learning or imitation learning for motion and control, learned planners, or sim-to-real training in tools like Isaac Sim, MuJoCo, or Gazebo.
  • Robot learning: behavioral cloning, diffusion policies, or vision-language-action (VLA) models for manipulation, trained on multi-modal data such as images, force, and torque.
  • Where they meet: combining classical robotics with learning-based methods to make our robots faster, smarter, and more capable.

Who You Are

You don’t need to be an expert in both robotics and ML — depth in one and curiosity about the other is what we’re after.

  • Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field.
  • Strong programming skills in C++ and/or Python.
  • Coursework, research, or project experience in robotics (planning, controls, kinematics, dynamics) or machine learning (computer vision, deep learning, reinforcement learning).
  • For robot learning projects: coursework or research in imitation learning, reinforcement learning, or diffusion-based policies, ideally applied to robot manipulation.
  • Comfortable working on Linux and using Git.
  • You learn fast, enjoy debugging hard problems, and can explain your work clearly to people outside your specialty.

Why You’ll Love It Here

  • Real ownership: your project ships to robots doing real production work, not a sandbox.
  • A dedicated mentor plus regular time with engineers across robotics, ML, and hardware.
  • Daily free lunch to keep you fueled and connected with the team.
  • Competitive hourly pay.

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

✕ position closed

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