At TrackBox, we analyze football games automatically. By leveraging advanced Computer Vision, we transform raw video footage into actionable data, bridging the data gap between elite pro leagues and the rest of the sporting world. Whether it’s soccer, ice hockey, basketball or field hockey, our mission is to make professional-grade analytics accessible to every coach and player on the planet. As a proud member of the imec.istart portfolio - the world’s top-ranked tech accelerator - we are scaling fast and looking for an AI-expert to join our dynamic team and contribute to our mission of transforming sports through technology.
As an AI Engineer at TrackBox, you will be responsible for developing and implementing advanced AI algorithms to perform computer vision or time series analysis among other related tasks. This includes working on projects involving object detection, tracking, and tactical play recognition in sports environments. You will work on cutting-edge tasks such as graph optimization, setting up neural network architectures (Transformers, CNN, RNN, LLM), transforming camera footage into 3D models, optical tracking, and more. Beyond just development and implementation, you will also engage in extensive thinking and research to drive innovation. As a member of our small team, you will encounter diverse challenges and opportunities, contributing to the creation of scalable, high-performance, and robust software that delivers actionable data insights to our clients.
Developer of automated football data analysis software intended to help clubs and coaches improve their team's performance.
The company's platform provides real-time data analytics, customizable dashboards, and insights into player and team performance, enabling the football team to make better decisions.