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 streamsRefine models for preoperative medical imagesConvert Python prototypes into low-latency inference pipelinesApply MLOps for experiment tracking and dataset versioningDefine ground-truth protocols with clinical specialistsRequirements:
Ph.
D. in a related quantitative field, or Master’s degreeTwo to five years’ production experience with a Master’s degreeAdvanced Python and PyTorch proficiencyGrounding in geometric vision, optical flow, and OpenCVClean, version-controlled code using Git, Docker, and CI/CDApply computer vision, PyTorch, and low-latency inference expertise to Scopia Surgical’s medical imaging systems.
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📌 Surgical Computer Vision Engineer (Winnipeg)
🏢 Scopia
📍 Winnipeg