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Machine Learning Engineer, Perception

1 hour, 12 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Computer Vision Deep Learning Machine Learning Python PyTorch
Apply Now
Path Robotics

Path Robotics

Path Robotics creates truly autonomous robots for manufacturing, eliminating the need for skilled welders or robot programmers and allowing humans to focus on creativity.

Automotive
51-250
Founded 2014
$71M raised
View All Jobs 34

Description

  • Implement, validate, and iterate on machine learning algorithms for weld perception tasks such as point cloud registration, seam detection, and joint geometry estimation.
  • Build and maintain data pipelines for training and evaluating perception models, including annotated 3D scan ingestion, synthetic data generation, and dataset management.
  • Run model evaluation experiments, perform failure mode analysis, and benchmark performance against quantitative accuracy thresholds.
  • Integrate trained models into production ROS-based robotics services with low-latency inference and deployed cell compatibility.
  • Write clean, well-tested Python code and maintain clear documentation of methods, parameters, and results.
  • Participate in code and experiment reviews and communicate technical findings to guide next steps.
  • Lead research, development, and production deployment of advanced perception algorithms across multiple sensor modalities.
  • Design and lead experiments for state-of-the-art deep learning and geometric feature learning models.
  • Design and lead real-time perception systems for during-weld seam tracking using sensor fusion and probabilistic state estimation.
  • Define and own the end-to-end ML lifecycle from dataset design through fleet deployment, including go/no-go evaluation frameworks.
  • Architect distributed training and hyperparameter optimization workflows and drive data acquisition and annotation strategy.
  • Mentor engineers across levels and provide technical leadership on perception systems and ML methodology.

Requirements

  • Master's or Ph.D. in CS, Robotics, or a related field such as Computer Vision, ML, or Perception; a Bachelor's degree with strong production ML experience is also considered.
  • 3+ years of real-world robotics or industrial ML experience for Experienced level, or 7+ years for Senior/Staff level.
  • Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production.
  • Experience with 3D point cloud data and libraries such as Open3D, including surface segmentation, spatial queries, and point-wise labeling.
  • Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches.
  • Comfort integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments.
  • For Senior/Staff candidates, a demonstrated track record of leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks.
  • For Senior/Staff candidates, experience architecting distributed training and hyperparameter optimization workflows.

Benefits

  • Daily free lunch.
  • Flexible PTO.
  • Comprehensive medical, dental, and vision coverage.
  • 6 weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents.
  • 401(k) retirement plan through Empower.
  • Generous employee referral bonuses.

Interested in this position?

Apply directly on the company website

Apply Now

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