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 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 leverages 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 constantenously 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
Research, design, implement, 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
Contribute to the development and maintenance of the backend on which the CV/ML algorithms run
Share knowledge within the team located across two or more locations
The challenge
Handle the entire production line: from research to the integration of the developed CV algorithms.
Adapt solutions to fit hardware constraints
Write clean, scalable, optimized, documented, and understandable code
Integrate in complex systems developed by different teams
Participate in code review processes, when area of expertise is applicable
Build reusable code libraries, when those are required
Your skills
At least 4 years of professional experience with Computer Vision and Machine Learning (3D reconstruction, image and video processing, object detection, tracking, etc.)
Proficiency in C/C++ (+2 years of professional experience).
Solid programming skills with Python
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.
Experience in AWS environment
A team player with a strong sense of collaboration and personal development.
Be creative and innovation focused
Strong organizational and problem-solving skills
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
