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Computer Vision Researcher — Sports Performance Analysis

FarmIQ AI

Remote · $110k – $150k / year · Full-time · Posted 6 months ago

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About the role

We provide video analysis tools to professional football clubs and national federations. Our platform processes match and training footage to extract player tracking, event detection and tactical patterns. We need a CV researcher to improve our player tracking (multi-camera, partial occlusion, broadcast footage) and build new event detection models — tackles, set pieces, transition moments. You'll have access to a large proprietary dataset of professional match footage and a GPU compute budget. Publications are welcome but not required. Shipping accurate models that clubs actually use is what matters.

Fully remote.

Requirements

  • – Multi-object tracking experience (ByteTrack, DeepSORT, or similar)
  • – Broadcast video domain experience (handling compression artefacts, camera cuts)
  • – Action recognition or event detection models
  • – PyTorch proficiency
  • – Interest in football is genuinely a plus — you'll spend a lot of time watching footage

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$110k – $150k / year

AI Expertise

Computer Vision & Deep Learning Computer Vision

Skills

computer vision pytorch python tensorflow

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About FarmIQ AI

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