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Sportradar, the world's leading sports technology company, is seeking a Staff 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 solutions for automated sports content creation—including player and ball tracking, segmentation, re-identification, 3D localization, and event detection.
You will work with a distributed, highly skilled team across multiple European locations to extract deep data from sports videos and develop solutions that enhance the viewing experience for broadcasters, fans, and media partners. Your responsibilities include:
- Research, design, implement, compare, integrate, and optimize CV/ML algorithms for existing and upcoming products
- Use computer vision and machine learning to automate manual operator workflows
- Share knowledge across a geographically distributed team
- Stay current with state-of-the-art 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
- Integrate research prototypes into real-world production systems
The role is based in Ljubljana and operates on a fully on-site, five-days-per-week model. Sportradar values collaboration, innovation, and team cohesion, and believes in-person work strengthens these values.
**Requirements:**
- At least 6 years of professional experience with computer vision and machine learning (multi-object tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing algorithms, model evaluation, etc.)
- 5+ 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, etc.)
- Experience in AWS environment
- Excellent English communication skills with ability to explain complex technical concepts clearly
- Comfort with modern development methodologies and tooling (Agile, Git, code review, AI-assisted development tools)
- Autonomous, rigorous, and collaborative mindset with strong problem-solving and organizational skills
- Creative and innovation-focused approach
