Veo

Veo builds AI-powered sports cameras and analysis ecosystems designed to automatically record, livestream, and analyze matches for coaches, players, and teams at all levels. Its hardware and software products, such as the Veo Cam 3 and Veo Editor, utilize artificial intelligence to track players and the ball, livestream games, and automatically tag key moments like goals, tries, and touchdowns. The company serves sports teams ranging from everyday youth matches to big leagues, providing them with automated video capture and analytical tools previously reserved for top-tier academies.

Veo's technology relies heavily on machine learning models that manage everything from data annotation tasks to cloud and edge inference pipelines. The organization's AI team consists of more than 20 researchers and engineers who handle all stages of the machine learning lifecycle. Team members focus on building systems that track gameplay, convert video footage into actionable evidence, and power end-user products through continuous research and deployment.

Open roles at Veo include engineering positions within the AI team, specifically looking for a Senior Machine Learning Engineer and a Machine Learning Engineer. These roles are based out of the company's Copenhagen office. The open positions cater to varying seniority levels, ranging from junior and mid-level engineers to senior engineers and researchers with a strong background in delivering real-world machine learning systems.