Computer Vision Engineer (mfd)

Ljubljana - Slovenia

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

ABOUT US

The Automated Content team enhances the sports experience for fans athletes and teams across the world by building world-class solutions. We focus on continuous innovation powered by a distributed group of specialists in computer vision deep learning and data science. Our mission is to automate sports content creation - both data and video - supporting the products and services we deliver to our partners. The potential to transform the global sports landscape is immense and we are still at the early stages of this journey.

THE CHALLENGE

As a Computer Vision Engineer you will play a key role in extracting deep meaningful sports data from video. You will work across complex and exciting areas such as player and ball tracking segmentation re-identification 3D localization and event detection. Your contributions will directly influence how millions of people experience sport.

In this role you will:

Research design implement compare integrate and optimize state-of-the-art CV algorithms for current and future products

Automate and simplify processes currently handled manually

Integrate research prototypes into stable production-ready systems operating under real-time constraints

Write clean scalable well-structured and well-documented code

Participate in code reviews and support the development of shared internal libraries

Stay up to date with advancements in CV and apply them meaningfully

Collaborate closely with a distributed team of engineers and researchers contributing to a culture of knowledge-sharing and technical excellence

ABOUT YOU

You are motivated by solving real-world problems through computer vision and enjoy bridging the gap between research and production. You communicate clearly work collaboratively and bring a thoughtful quality-driven approach to engineering.

You bring:

Professional experience in computer vision and machine learning such as multi-object tracking segmentation event detection 3D estimation projective geometry classic image processing and model evaluation

Experience with deep learning frameworks such as PyTorch or TensorFlow

Strong programming skills in Python and familiarity with data-science libraries

Understanding of software engineering principles such as design patterns and SOLID

Experience with modern development workflows including Git agile collaboration and code reviews

Excellent communication skills in English

A structured proactive and collaborative working style

Creativity problem-solving ability and an innovation-focused mindset

OUR RECRUITMENT PROCESS

We aim to make our recruitment experience transparent human and supportive. You will always know what to expect at each stage.

Initial Screening

A short conversation with our Talent Acquisition Partner to learn more about your background interests and expectations.

Technical Interview (2 hours)

A single combined technical stage designed to be fair structured and respectful of your time.

Part 1: One-on-one coding exercise (30 to 45 minutes)

You will complete a live coding task with one of our leads. Please have your IDE ready. You may use an AI copilot if you wish but the interview begins with it disabled. You should be able to enable or disable it quickly as we may ask you to do so during the exercise.

Part 2: Technical and experience discussion (remaining time)

If the coding exercise goes well two experts will continue the part focuses on your previous work your technical thinking and how you approach engineering challenges.

Final Steps

We provide feedback and if successful move forward to an offer. Our goal is always to ensure the process feels clear fair and respectful.

Additional Information :

At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!

Remote Work :

Employment Type :

Full-time

ABOUT US The Automated Content team enhances the sports experience for fans athletes and teams across the world by building world-class solutions. We focus on continuous innovation powered by a distributed group of specialists in computer vision deep learning and data science. Our mission is to auto...