Staff Computer Vision Engineer
Sportradar is looking for a Staff Computer Vision Engineer to join the Automated Content team. This role focuses on enhancing the sports experience for fans, athletes, and teams globally through the development of world-class computer vision solutions. The engineer will contribute to a mission of automating sports content creation, including data and video, to feed products and services delivered to partners.
The Staff Computer Vision Engineer will work within a diverse, distributed team to research, design, implement, and optimise computer vision and machine learning algorithms. The role involves tackling complex challenges such as player and ball tracking, segmentation, re-identification, 3D localisation, and event detection to revolutionise how individuals interact with and participate in sports.
- Research, design, implement, compare, integrate and optimise state-of-the-art CV/ML algorithms for 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.
- Stay up-to-date and apply state-of-the-art CV methods.
- Find optimal solutions in terms of accuracy while considering real-time constraints.
- Collaborate with a talented team composed of both remote and headquarters-based experts.
- Integrate research into real-world products.
- Write clean, scalable, optimised, documented, and understandable code.
- Participate in code review processes where expertise is applicable.
- Build reusable code libraries when required.
- At least 6 years of professional experience with Computer Vision and Machine Learning (required).
- 5+ years of experience in developing or using deep learning frameworks such as PyTorch or TensorFlow (required).
- Expert programming skills with Python and its underlying data-science libraries (required).
- Basic software engineering skills including design patterns and SOLID principles (required).
- Experience in an AWS environment (required).
- Excellent communication skills in English (required).
- Comfortable with modern development methodologies and tooling including Agile, Git, code review, and AI-assisted development tools (required).
- Autonomous, rigorous, team-oriented, and creative mindset (required).
Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.