at Sportradar
Full TimeWe’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 Sport 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 products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey.
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.
We seek a talented Computer Vision Engineer to join our team: a diverse, highly skilled, and enthusiastic team on the mission to reinvent the world of sports.
About the role
We are looking for a Computer Vision Engineer to reinforce our talented and enthusiastic Computer Vision (CV) Team, to obaining deep-data from videos of indoor sports. This dynamic team, composed of both remote and headquarters-based experts, works on challenging subjects such as player and ball tracking, segmentation, re-identification, 3D localization, event detection, etc.
Your role will be to research, design, implement, compare, integrate and optimize CV solutions to leverages the power of sports data for millions of sports enthusiasts.
Join the #1 sport’s data company to tackle real-world challenges, and help us change the way sport is consumed.
Responsibilities
Research, design, implement, compare, integrate and optimize state-of-the-art CV/ML algorithms for our existing and upcoming products
Use CV/ML to automate and simplify the day-to-day work of manual operators
Share knowledge within the team located across multiple (European) countries
The challenge
Stay up-to-date and apply state-of-the-art CV methods
Find an optimal solution in term of accuracy, considering real-time constraints
Collaborating with a talented team composed of both remote and headquarters-based experts
Integrate research into real-world products
Write clean, scalable, optimized, documented, and understandable code
Participate in code review processes, when area of expertise is applicable
Build reusable code libraries, when those are required
Your skills
At least 5 years of professional experience with Computer Vision and Machine Learning (e.g. multi-objects tracking, segmentation, event detection, 3D estimation, etc.)
3+ year experience in developing or using deep learning frameworks (e.g., PyTorch , TensorFlow, etc.)
Expert programming skills with Python (and its underlying data-science libraries)
Experience in AWS environment
Excellent communication skills in English and ability to effectively communicate complex technical concepts.
Must be comfortable with modern software development methodologies such as agile development, git, code review, etc.
Autonomous and rigorous, and a team player, with a positive mindset
Strong organizational and problem-solving skills
Be creative and innovation focused
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
