Senior Applied Computer Vision Engineer

Janea Systems is looking for a Senior Computer Vision Engineer to join our team and support one of our clients in the sports analytics industry. In this role, you will help design, improve, and scale computer vision systems that transform sports video into actionable insights. The work will focus on video-based detection, tracking, camera calibration, homography, field registration, identity association, and adapting existing models and pipelines to new video sources, camera configurations, stadiums, and video-quality conditions. This is a highly hands-on technical role for someone who combines strong computer vision fundamentals with practical engineering experience and the ability to drive initiatives from experimentation through production deployment. The ideal candidate is comfortable working independently, identifying weak points in existing systems, designing practical improvements, and collaborating with engineering, data, and platform teams to deliver production-ready solutions. Location Fully Remote/ European Residence required Compensation Competitive, based on experience Work Schedule Full time/ Flexible working hours Reports to Head of Engineering Member of Engineering Team To be considered for this position, you must have the following qualifications: Strong hands-on experience building and improving production-grade computer vision systems. Proficiency with Python and modern machine learning frameworks such as PyTorch. Experience with video-based computer vision problems, including object detection, multi-object tracking, event recognition, identity association, or video analytics. Strong working knowledge of geometric computer vision, including camera calibration, homography estimation, projective geometry, and mapping image-space detections to real-world 2D or 3D coordinates. Experience designing or improving tracking systems that handle occlusions, object interactions, identity preservation, noisy detections, and missing information. Experience eval