Computer Vision Engineer

Owning computer-vision capabilities from initial problem definition through field deployment, the full-time remote Computer Vision Engineer will develop systems for vehicle detection, tracking, and OCR, while ensuring reliable performance on edge hardware in challenging roadside conditions. Key responsibilities Build and optimize systems for vehicle detection, tracking, and attribute extraction Establish evaluation frameworks that link model performance to real-world outcomes Diagnose and resolve failures across the entire imaging pipeline, from camera configuration to model behavior Required qualifications Minimum 4 years of professional experience in computer vision, data science, or research Proficient in Python, SQL, OpenCV, and PyTorch programming Strong understanding of fundamental computer vision techniques and GPU computing Experience with applied computer vision techniques on edge hardware Familiarity with version control systems like Git and Linux systems