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
Computer vision fundamentals, Deep learning frameworks, Real-time inference pipeline design, Model optimization, Technical leadership, System architecture
Preferred skills
Medical imaging experience, Regulated software development (FDA/ISO), Edge deployment, Team growth
Technologies
Deep learning frameworks, Image processing tools
Responsibilities
Lead research and prototyping of spatial and spatiotemporal models for lesion detection, Set technical direction for model architecture and preprocessing, Own deployment path from trained models to low-latency clinical platform, Benchmark model performance for accuracy and speed, Collaborate with regulatory teams to align development with FDA and ISO 13485 standards
