Computer Vision Engineer Sports Video

HomeTeam Network

Build real-time computer vision for live sports video at HomeTeam Network, using detection, tracking, and automated camera framing across global events.As a Computer Vision Engineer, you will ship models for players, balls, pucks, and game events. Your work spans PyTorch or TensorFlow, Python, video pipelines, and production monitoring. You will help shape how sports footage is captured, processed, and experienced.Key Responsibilities:
Design and train detection and tracking models across sportsBuild broadcast-quality automated camera framing for live playDetect video events for highlight generation and evaluationOptimize GPU and edge inference under real-time constraintsMonitor production models across venues and lighting conditionsRequirements:
Experience shipping and maintaining production computer vision modelsStrong Python and hands-on PyTorch or TensorFlowSolid object detection and multi-object tracking knowledgeEvent or action recognition experience in videoOpenCV, FFmpeg, or GStreamer real-time pipeline experienceApply computer vision, video engineering, and production ownership to improve live sports broadcasting at HomeTeam Network.
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