Sports Computer Vision Engineer

SumerSports is a football intelligence technology company providing data-driven products and insights to football fans, NFL clubs, and NCAA organizations. The Computer Vision Engineer will build and improve sports video intelligence models for detection, tracking, pose, event understanding, and multi-view reasoning, while conducting experiments, evaluating model performance, and collaborating to productionize reliable solutions.

Responsibilities:

• Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID)
• Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements
• Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy
• Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful
• Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups)
• Collaborate on dataset + labeling design: formats, schemas, tooling, versioning
• Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks
• Add lightweight quality gates: reproducibility, automated eval, regression detection