Machine Learning Engineer, Perception

Responsibilities

• Implement, validate, and iterate on machine learning algorithms for weld perception tasks including point cloud registration and seam detection
• Build and maintain data pipelines for training and evaluating perception models using 3D scan data and synthetic data generation
• Run rigorous model evaluation experiments including failure mode analysis and benchmarking
• Integrate trained models into production ROS-based robotics services
• Lead research and production deployment of advanced perception algorithms for Senior/Staff levels
• Design real-time perception systems using sensor fusion and probabilistic state estimation
• Mentor engineers and provide technical leadership on perception systems

Requirements

• Master's or Ph.D. in CS, Robotics, or related field (or Bachelor's with strong production ML experience)
• 3+ years (Experienced) or 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 like Open3D
• Familiarity with 3D deep learning architectures such as PointNet++ or GeoTransformer
• Experience integrating ML models into ROS-based architectures

Benefits

• Daily free lunch
• Flexible PTO
• Comprehensive medical, dental, and vision coverage
• Paid parental leave (up to 14 weeks total)
• 401(k) retirement plan
• Employee referral bonuses

About the Company

Path Robotics is building the future of embodied intelligence, creating AI-driven robotic systems that enable robots to adapt, learn, and perform in the real world to transform industries.