[Hiring] Machine Learning Engineer - Perception @Path Robotics

Role Description

We're seeking passionate ML Engineers to join our team at the intersection of welding science and artificial intelligence. You will be instrumental in developing robotic welding solutions, using your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams.

What You’ll Do

• Experienced:
  • Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation.
  • Build and maintain data pipelines for training and evaluating perception models.
  • Run rigorous model evaluation experiments, including failure mode analysis and benchmarking against quantitative registration accuracy thresholds.
  • Integrate trained models into production ROS-based robotics services.
  • Write clean, well-tested Python code; participate actively in code and experiment reviews.
• Senior/Staff:
  • Lead research, development, and production deployment of advanced perception algorithms.
  • Design and lead experiments evaluating state-of-the-art deep learning models.
  • Design and lead real-time perception systems applying sensor fusion.
  • Define and own the end-to-end ML lifecycle.
  • Architect distributed training and hyperparameter optimization workflows.
  • Mentor engineers across levels, providing technical leadership on perception systems and ML methodology.

Qualifications

• Master's or Ph.D. in CS, Robotics, or related field; Bachelor's with strong production ML experience also considered.
• 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML.
• Strong Python fluency and hands-on PyTorch experience.
• Experience with 3D point cloud data and libraries such as Open3D.
• Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar approaches.
• Comfortable integrating ML models into production robotics services within ROS-based architectures.
• Senior/Staff: Demonstrated track record leading end-to-end ML projects.

Benefits

• Daily free lunch to keep you fueled and connected with the team.
• Flexible PTO so you can take the time you need, when you need it.
• 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—help us grow our team!

Company Description

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world, closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

We love coming to work to solve interesting and tough challenges, and our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment.