Build surgical computer vision systems at Scopia Surgical using Python and PyTorch for live endoscopic video and medical imaging. Work directly on real-time perceptual intelligence for healthcare.As a Surgical AI Engineer or Scientist, you will develop, train, and deploy deep learning models for intraoperative video and preoperative images. You will collaborate with algorithm leads, software engineers, and clinical advisors.

The role combines medical image analysis, computer vision, and production engineering for sparse clinical datasets.Key Responsibilities:





Develop deep learning models for endoscopic videos and medical imagesApply self-supervised learning and domain adaptation methodsConvert Python prototypes into low-latency inference pipelinesTrack experiments and version datasets using MLOps practicesDefine ground-truth protocols with clinical specialistsRequirements:

Ph.D. or relevant master’s degree with industry experienceAdvanced Python and PyTorch proficiencyKnowledge of geometric vision, optical flow, and OpenCVExperience with Git, Docker, CI/CD, and unit testingFluent written and verbal French and English communicationApply computer vision, deep learning, and medical imaging expertise to Scopia Surgical’s real-time surgical systems.

📌 Surgical Computer Vision Engineer (Winnipeg)
🏢 Scopia Surgical
📍 Winnipeg