Computer Vision Engineer

Job Summary

Seeking a hands-on Computer Vision Engineer for a remote, full-time position focused on building and improving sports video intelligence models, including detection, tracking, pose estimation, and event understanding.

Key responsibilities

• Build and train computer vision models for sports video, including player/ball detection and multi-object tracking
• Own the experimentation loop, conducting error analysis and designing evaluation metrics for model performance
• Collaborate on dataset design and assist in productionizing models for reliable deployment

Required qualifications

• Strong applied computer vision experience with hands-on model development
• Proficient in PyTorch, including training loops and debugging for vision workloads
• Familiarity 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