Build deep learning systems for live endoscopic video and medical imaging at Scopia Surgical, using Python and PyTorch. Work across research, engineering, and clinical collaboration.
As a Surgical AI Engineer or Scientist, you will develop, train, and deploy models for real-time perceptual intelligence. Your work spans self-supervised learning, domain adaptation, synthetic data augmentation, computer vision, and medical image analysis. You will collaborate with senior algorithm leads, software engineers, and clinical advisors.
Key Responsibilities
Develop deep learning models for endoscopic video streams
Refine models for preoperative medical images
Convert Python prototypes into low-latency inference pipelines
Apply MLOps for experiment tracking and dataset versioning
Define ground-truth protocols with clinical specialists
Requirements
Ph.D. in a related quantitative field, or Master’s degree
Two to five years’ production experience with a Master’s degree
Advanced Python and PyTorch proficiency
Grounding in geometric vision, optical flow, and OpenCV
Clean, version-controlled code using Git, Docker, and CI/CD
Apply computer vision, PyTorch, and low-latency inference expertise to Scopia Surgical’s medical imaging systems.