Computer Vision Engineer

HomeTeam Network delivers streaming technology for sports organizations and produces live and on-demand events across many sports. The Computer Vision Engineer will build, deploy, and operate real-time computer vision systems for player and object tracking, automated camera framing, and event recognition in live sports video.

Responsibilities:

• Design, train and ship detection and tracking models for players, ball or puck, and game events across several sports
• Build automated camera framing that follows play at broadcast quality
• Build video-based event detection for highlight generation, and evaluate it against our existing detection methods
• Optimize real-time inference for GPU and edge hardware under latency, compute and bandwidth limits
• Own the data loop: capture from our own game footage, annotation, dataset versioning, and targeted collection when a failure mode shows up
• Define evaluation that reflects what a viewer notices (a missed play, bad framing, the wrong moment in a highlight) alongside standard metrics
• Monitor models in production across venues, sports and lighting conditions, and fix what drifts
• Support camera calibration and venue geometry
• Build tooling that lets operations staff diagnose and clear issues during a live event
• Work with streaming, platform, product and customer-facing teams on what partners need