Senior Computer Vision Engineer | Object Detection, Tracking & Sports Video Analytics

Virtus Athlete Intelligence is an early-stage startup focused on AI-powered sports visibility and sponsorship intelligence. They are seeking a Senior Computer Vision Engineer who will specialize in object detection, tracking, and sports video analytics to help build systems that measure athlete visibility and brand exposure in sports video.

Responsibilities:

• Build, train, fine-tune, evaluate, and deploy computer vision models for object detection and video analytics
• Develop pipelines for athlete detection, player tracking, jersey/number recognition, logo detection, brand exposure detection, and screen-time measurement
• Work with sports video from broadcasts, social media clips, highlight reels, and digital content
• Improve model performance across real-world conditions such as motion blur, fast camera movement, camera cuts, partial occlusion, replays, low-resolution clips, crowded scenes, and changing lighting
• Build and optimize inference pipelines for speed, cost, and accuracy
• Write clean, production-ready Python code for training, testing, inference, evaluation, and deployment
• Prepare and manage datasets, annotations, bounding boxes, class definitions, and model validation workflows
• Evaluate model performance using metrics such as precision, recall, mAP, IoU, confidence thresholds, false positives, false negatives, and tracking accuracy
• Collaborate with product, backend, and leadership teams to connect model outputs to dashboards, reports, media kits, and APIs