Job Description
Sportradar is a trailblazer in global sports technology, where your skills will enhance the creation of immersive experiences for sports fans and bettors worldwide. Established in 2001, Sportradar operates at the intersection of the sports, media, and betting industries, delivering top-tier technology solutions to sports federations, media companies, consumer platforms, and betting operators to drive business growth.
Partnered with prestigious organizations such as the NBA, ATP, NHL, MLB, NASCAR, FIFA, UEFA, Bundesliga, AFC and Conmebol, we cover nearly a million events annually across all major sports.
As part of our team, you'll leverage our extensive industry relationships and expertise to innovate and elevate the sports fan experience. Moreover, through our Integrity Services division, you'll contribute to promoting an integrity-driven environment that safeguards the sports industry.
If you're ready to embrace a pivotal role in transforming the sports industry and reimagining the sports fan experience, explore our exciting career opportunities at Sportradar.
ABOUT US:
Interested 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 computer vision 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 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.
WHAT?
We are looking for a Computer Vision Engineer to reinforce our talented and enthusiastic Computer Vision (CV) Team, obtaining deep-data from videos of 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 leverage 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.
THE CHALLENGE:
* 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 knowledgeb> within the team, sometimes located across multiple (European) countries.
* 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.
ABOUT YOU:
* At least 3 years of professional experience with Computer Vision and Machine Learning (e.g., multi-objects tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing algorithms, model evaluation, etc.).
* 2+ 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) and proficient software engineering skills (e.g., design patterns, SOLID, etc.).
* 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.
OUR OFFER:
* A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding.
* Flexibility to manage your workday and tasks with autonomy.
* A balance of structure and autonomy to tackle your daily tasks.
* Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
* Global Employee Assistance Programme.
* Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together.
OUR RECRUITMENT PROCESS:
* Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
* Technical interview: With the hiring (technical) team, to assess your technical knowledge.
* Cultural Interview: Interview with the director of AI - Computer Vision.
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