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Sportradar, the world's leading sports technology company, is seeking a Senior Computer Vision Engineer to join its Automated Content team. This role focuses on researching, designing, implementing, and optimizing state-of-the-art computer vision and machine learning algorithms to automate sports content creation—extracting deep data from sports videos to power products and services for broadcasters, media partners, and fans globally.
The team tackles challenging computer vision problems including player and ball tracking, segmentation, re-identification, 3D localization, and event detection. You will work on real-world applications that integrate research into production systems, collaborating with a distributed team of specialists across Europe.
Key responsibilities include:
- Research, design, implement, compare, integrate, and optimize state-of-the-art CV/ML algorithms for existing and upcoming products
- Use computer vision and machine learning to automate manual workflows
- Stay current with cutting-edge CV methods and find optimal solutions balancing accuracy with real-time constraints
- Write clean, scalable, optimized, documented, and understandable code
- Participate in code review processes and build reusable code libraries as needed
- Share knowledge across the distributed team and collaborate with remote and headquarters-based experts
The company emphasizes an office-first culture, with team members working on-site five days per week to foster collaboration, innovation, and strong team connections.
REQUIREMENTS:
- At least 3 years of professional experience with Computer Vision and Machine Learning (e.g., multi-object tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing algorithms, model evaluation)
- 2+ years of experience developing or using deep learning frameworks (PyTorch, TensorFlow, or similar)
- Expert programming skills in Python and its data-science libraries; basic software engineering skills (design patterns, SOLID principles)
- Excellent English communication skills with ability to explain complex technical concepts clearly
- Comfort with modern software development methodologies (agile development, git, code review)
- Autonomous, rigorous, and collaborative mindset with strong problem-solving and organizational skills
- Creative and innovation-focused approach
