SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 solutions to automate sports content creation—extracting deep data from sports videos to power products and services for broadcasters, media partners, and betting operators globally.
You will work on challenging computer vision problems including player and ball tracking, segmentation, re-identification, 3D localization, and event detection. The team is distributed across European locations but operates on a fully on-site model with five days per week in the Ljubljana office.
Key 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
- 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
- Share knowledge across the geographically distributed team
- Integrate research prototypes into real-world production systems
The role offers the opportunity to tackle real-world challenges in sports analytics and help revolutionize how sports content is created and consumed.
REQUIREMENTS:
- Minimum 3 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)
- 2+ years of experience developing or using deep learning frameworks (PyTorch, TensorFlow, or similar)
- Expert-level 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, git, code review)
- Autonomous, rigorous, and collaborative mindset with strong problem-solving and organizational skills
- Creative and innovation-focused approach
