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.

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