hawkeyeinnovations.com
4 open TypeScript positions
Open Positions
Machine Learning Engineer
The Machine Learning Engineer will join Hawk-Eye Innovations in Budapest to develop and deploy real-time ball and player tracking ML models using Python and libraries like PyTorch. Key responsibilities include designing new models, maintaining modern architecture, and developing MLOps/CI/CD pipelines. This full-time, permanent role requires a Bachelor's or Master's degree in a related technical field and strong Python skills. Engineers are expected to demonstrate autonomy, leadership through mentorship, and pragmatic application of technical excellence in a hybrid work environment.
Machine Learning Engineer
The Machine Learning Engineer will join Hawk-Eye Innovations, a leading sports technology company, to develop and deploy innovative ball and player tracking solutions. Key responsibilities include designing new ML models using Python and Pytorch, maintaining modern ML architecture, and utilizing cloud/containerized systems for deployment. This role requires strong programming skills and collaboration with Computer Vision and engineering teams to drive technical excellence in sports officiating solutions.
Machine Learning Engineer - Sports AI
The Machine Learning Engineer will work in the R&D team at Hawk-Eye Innovations, focusing on defining the future of sports analytics through cutting-edge ML features. Key responsibilities include integrating deep learning models, running ML models on live tracking data, designing algorithms for actionable insights, and developing/deploying cloud-based, real-time ML systems. The role requires collaboration with product managers and engineers to streamline ML operations and performance pipelines.
Machine Learning Engineer - Sports AI
The Machine Learning Engineer will join the HawkAI R&D team to integrate cutting-edge ML features and deep learning models into sports analytics products. Key responsibilities include running ML models on live streams, designing algorithms for actionable insights, and developing/deploying cloud and containerised systems with a focus on real-time performance. This role requires strong Python fundamentals and experience with PyTorch and Linux development environments.