Computer Vision Engineer 3072769 I.Html

Hands-on and detail-driven, the remote Computer Vision Engineer will build and improve sports video intelligence models focused on detection, tracking, pose, event understanding, and multi-view reasoning while collaborating with data/platform teammates to ensure reliable deployment.

##### Key responsibilities

Build and train CV models for sports video, including player/ball detection and multi-object tracking

Own the experimentation loop, conducting hypotheses ablations and error analysis for measurable improvements

Collaborate on dataset and labeling design, and help productionize models for effective deployment

##### Required qualifications

Strong applied CV experience with hands-on model development

Solid PyTorch skills, including training loops and data pipelines for vision workloads

Comfort with video CV fundamentals such as occlusion and temporal consistency

Strong Python engineering skills with a focus on measurable outcomes

Experience in sports video CV or adjacent domains is a plus