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Responsibilities:

  • Develop and improve computer vision models for sports video, including player and ball detection, tracking, event recognition, and identity association.
  • Build and improve camera calibration, homography, and field-registration solutions.
  • Analyze existing pipelines, establish baselines, and implement improvements.

Qualifications:

  • Strong hands-on experience with production-grade computer vision systems.
  • Proficiency in Python and PyTorch.
  • Experience with video-based problems like object detection and multi-object tracking.

Why Join:

  • Competitive compensation and benefits including paid vacation and sick leave.
  • Ultra-flexible working conditions with office equipment allowance.
  • Opportunity to work on tough engineering challenges with a global team.

Janea Systems

Janea Systems provides computer vision solutions for sports analytics. They offer a remote-first, flexible work environment with a globally diverse team of top engineering talent.

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