Computer Vision Engineer
Core
Lead research, design, and deployment of spatiotemporal algorithms for real-time lesion detection and tracking in upper gastrointestinal endoscopy to assist gastroenterologists in identifying early-stage cancers.
Role type
Senior Computer Vision Engineer (Technical Lead)
Builds
AI-powered clinical intelligence platform for endoscopy
Domain
Medical technology / Gastroenterology / Computer Vision
Deliverable
production ML models
Required skills
spatiotemporal model development, deep learning framework proficiency, real-time inference pipeline optimization, model architecture design, image processing, feature extraction, technical leadership, system end-to-end ownership
Preferred skills
medical imaging experience, regulated software development, low-latency video systems, edge deployment
Technologies
deep-learning frameworks
Responsibilities
Lead research and prototyping of spatial and spatiotemporal models for lesion detection; set direction for model architecture and preprocessing strategies; own deployment path from trained models to low-latency clinical platform; benchmark model performance for accuracy, speed, and robustness; align algorithm development with FDA and ISO 13485 standards; mentor engineers and lead projects
Seniority
Senior, hands-on IC with mentorship responsibilities