We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Computer Vision Engineer for Automated Content
Interested in Artificial Intelligence, Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sports through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. We are on a mission to automate sports content creation - the data and video – that feeds the products and services we deliver to our partners.
Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways.
About the role:
We are looking for a Computer Vision Engineer to reinforce our talented and enthusiastic Automated Capture team. Through the use of AI and patented algorithms, Sportradar's Automated Capture System films and live streams high-level sporting events from all over the world without any human interaction.
On one side, the Automated Capture team designs and applies Computer Vision algorithms to leverage the power of sports data for hundreds of business customers and millions of sports enthusiasts.
On the other side, because the systems gather petrabytes of data and videos, this team also constantly optimizes their efficiency and scaling.
Join the #1 sport’s data company to tackle exciting real-world production problems, and help us change the way sport is consumed.
Responsibilities and the challenge:
Your skills:
Our offer:
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences