Automated logging (player, ball, action detection, tracking...)
Automated production (framing), Image quality, Camera calibration
Have a PhD or Masters in Computer Vision, Computer Science, or related field
Be passionate about creating innovative techniques, and making them robust and scalable
Have (at least) 4 years of experience in applying state-of-the-art Computer Vision and Machine methods on industrial applications
Be autonomous, a team player with a positive mindset
Be creative and innovation-focused
Excellent communication skills in English and ability to effectively communicate complex technical concepts
Broad expertise in Computer Vision and Machine Learning (e.g., object detection, tracking, segmentation, image classification, 3D reconstruction, image and video processing, graphics rendering, etc.)
Solid programming skills with Python and/or C/C++
Previous experience in Tensorflow and/or Pytorch
Experience with Linux/Unix operating system.
Advanced usage of version control systems (e.g., GIT).
Knowledge of existing models used in Deep Learning for Sports.