Senior Computer Vision Engineer (Player Tracking)

👋 We are looking for a Senior Computer Vision Engineer!

At The FitWise, we turn any sports video into accurate 3D human motion data using AI and computer vision — no sensors or manual input needed.

Our technology powers real-time movement analysis from sports broadcasts and smartphone videos, helping teams, coaches, and physiotherapists improve performance, prevent injuries, and scout talent. We work with clients worldwide and are already present in 100+ locations. Our team includes top AI and computer vision experts with over a decade of experience building large-scale solutions. We are a remote-friendly company!

What you will do

➔ Design and develop advanced player tracking pipelines based on sports video footage (e.g. football broadcasts)

➔ Work with detection, identity / jersey number recognition, and trajectory reconstruction to reliably track multiple players over time

➔ Collaborate closely with our teams working on detection, recognition, calibration, and 3D motion

➔ Improve tracking robustness in occlusions, crowd scenes, appearance changes, jersey overlaps

➔ Bring tracking solutions to the production level — ensure stability, robustness, and consistent performance across diverse environments and video sources

➔ Optimize accuracy, stability, and scalability for production usage

➔ Contribute to model evaluation and dataset strategy

What you should have

➔ 4+ years of hands-on experience in Computer Vision / Machine Learning, including multi-object tracking

➔ Strong understanding of efficient tracking + re-identification pipelines (e.g. SORT / DeepSORT / ByteTrack / OC-SORT or similar)

➔ Proven experience in bringing CV tracking solutions to production

➔ Proficiency in Python for production-quality CV/ML code

➔ Experience with PyTorch and OpenCV

➔ Experience working with sports or human-centric video data

➔ Solid mathematical and algorithmic background

➔ Working proficiency in English

Also, nice to have

➔ Experience with player identification / jersey number recognition

➔ Familiarity with 2D→3D motion reconstruction or camera calibration

➔ Experience with large-scale dataset curation and model evaluation

➔ C++ experience for performance-critical modules

➔ Previous work in sports analytics / broadcast computer visio

Why work with us

➔ Cool team with an open and friendly culture

➔ Excellent work-life balance: flexible schedule, generous vacation, and sick leave policy

➔ Remote-friendly work with support for your home office

➔ Modern tech stack and real-world challenges

➔ Competitive benefits package