Computer Vision Engineer

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. They are hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models, focusing on CV research and applied modeling.

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