Machine Learning Engineer, Perception
Path Robotics, Columbus, Ohio or Remote
What you need
- Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); 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, including training, evaluating, and deploying deep learning models in production.
- Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like 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 on geometric data.
- Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments.
- Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows