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.
J-18808-Ljbffr

📌 Surgical Computer Vision Engineer Montreal (Canada)
🏢 Scopia
📍 Canada