Computer Vision Engineer

• Own and improve the video understanding pipeline, including object detection, multi-object tracking, player re-identification, jersey-number recognition, OCR, event and action recognition, temporal localization, shot and scene-boundary detection, replay detection, and camera-view classification
• Optimize GPU inference for throughput and cost through batching, precision tuning, and compilation
• Monitor production quality and latency and investigate failures and regressions
• Build and maintain labeled sports benchmarks split by sport, league, and content type
• Define and track metrics including mAP, F1, precision, recall, IoU, latency, and GPU cost
• Run systematic model bake-offs and reproduce published results on company data
• Write decision memos with recommendations, trade-offs, and licensing considerations
• Own regression suites and shadow or A/B testing pipelines, validating model and configuration changes before deployment
• Track new papers, model releases, and leaderboards and identify developments for evaluation

Explore Machine Learning Engineer, Computer Vision at Newxel. Review requirements and application details.