Computer Vision Engineer

Job Summary

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