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Lead Computer Vision Engineer - Sports Tracking

Aaron Fischer

Full-time · Senior · Madrid

No longer accepting applications

About the role

Our tracking system powers broadcast graphics and team performance analysis across multiple sports leagues. We need a lead engineer to improve multi-camera tracking quality and guide the next phase of our perception roadmap. The role combines hands-on technical work with leadership across data, product, and deployment teams.

Responsibilities

  • Lead model improvements across player and ball tracking systems
  • Set technical direction for evaluation, labelling, and deployment workflows
  • Partner with product teams on broadcast and coaching use cases
  • Mentor engineers across the perception group
  • Support incident reviews when tracking quality degrades in live events

Requirements

  • 6+ years in computer vision, tracking, or video intelligence
  • Python for model and tooling development
  • PyTorch for detection and tracking model work
  • Computer Vision depth in localisation, tracking, and calibration
  • Docker for reproducible development and deployment
  • Experience leading projects across research and production boundaries

Benefits

  • $158,000 - $186,000 base salary
  • Remote in Europe with quarterly onsite sessions in Madrid
  • Performance bonus and equipment budget
  • A visible product used in live broadcasts
  • Plenty of technical depth without a bloated org chart

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

Computer Vision & Deep Learning computer vision

Skills

python computer vision pytorch docker numpy

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$158,000 - $186,000

AI Expertise

Computer Vision & Deep Learning computer vision

Skills

python computer vision pytorch docker numpy

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