Computer Vision Engineer

Job Summary

Seeking a hands-on Computer Vision Engineer to work remotely in the United States, who 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 computer vision models for sports video, including player/ball detection and event/action recognition
• Own the experimentation loop, conducting hypotheses ablations and error analysis for measurable improvements
• Collaborate on dataset design and help productionize models, focusing on packaging and inference patterns

Required qualifications

• Strong applied computer vision experience with hands-on model development
• Solid skills in PyTorch, including training loops and data pipelines for vision workloads
• Comfort with video computer vision fundamentals such as occlusion and temporal consistency
• Strong Python engineering skills with a focus on measurable outcomes
• Experience in sports video computer vision or adjacent domains is a plus