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 images
- Apply self-supervised learning and domain adaptation methods
- Convert Python prototypes into low-latency inference pipelines




- Track experiments and version datasets using MLOps practices
- Define ground-truth protocols with clinical specialists

Requirements:
- Ph.D. or relevant master’s degree with industry experience
- Advanced Python and PyTorch proficiency
- Knowledge of geometric vision, optical flow, and OpenCV
- Experience with Git, Docker, CI/CD, and unit testing
- Fluent written and verbal French and English communication

Apply computer vision, deep learning, and medical imaging expertise to Scopia Surgical’s real-time surgical systems.

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