Senior Applied Computer Vision Engineer

📋 Description

• Design and scale CV systems for sports video to deliver actionable insights.
• Focus on video-based detection, tracking, camera calibration, homography, and field registration.
• Build production-grade solutions; drive experiments from concept to deployment.
• Collaborate with engineering, data, and platform teams; work independently to improve systems.
• Lead end-to-end initiatives from discovery to deployment and ongoing improvement.

🎯 Requirements

• Hands-on experience building production CV systems.
• Proficiency with Python and PyTorch.
• Experience with video based CV problems: detection, tracking, identity association.
• Strong knowledge of camera calibration and homography.
• Experience designing tracking systems that handle occlusions and noisy detections.
• Experience evaluating model performance and identifying failure modes.

🎁 Benefits

• Competitive compensation with benefits, vacation, and sick leave.
• Global, diverse engineering team on challenging projects.
• Flexible remote-first policy with home-office equipment allowance.
• Startup-like environment with growth opportunities.
• Flexible hours in a remote-first setup.