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.