Sportradar

Staff Computer Vision Engineer

Sportradar
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5 hours ago
Ljubljana, SloveniaStaff+

Responsibilities

  • Research, design, implement, compare, integrate, and optimize state-of-the-art computer vision and machine learning algorithms for current and future products.
  • Develop computer vision and machine learning solutions for player and ball tracking, segmentation, re-identification, 3D localization, event detection, and related sports-video analysis.
  • Automate and simplify manual operator workflows using computer vision and machine learning.
  • Balance solution accuracy with real-time constraints and integrate research into real-world products.
  • Write clean, scalable, optimized, documented, and understandable code.
  • Build reusable code libraries when needed and participate in applicable code reviews.
  • Share knowledge and collaborate with remote and headquarters-based experts across multiple European countries.

Requirements

  • At least 6 years of professional experience with computer vision and machine learning, including areas such as multi-object tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing, and model evaluation.
  • At least 5 years of experience developing or using deep learning frameworks such as PyTorch or TensorFlow.
  • Expert programming skills with Python and its data-science libraries, along with basic software engineering skills such as design patterns and SOLID principles.
  • Experience working in an AWS environment.
  • Strong English communication skills and the ability to explain complex technical concepts effectively.
  • Comfort with modern development tooling, including Git, code reviews, and AI-assisted development tools.
  • Autonomous, rigorous, collaborative, creative, organized, and focused on innovation and problem-solving.

Benefits

  • Fully onsite, office-first work arrangement with employees working in the office five days per week.
  • Opportunity to work on real-world sports computer vision and machine learning products with a distributed, highly skilled team.
  • Equal access to programs, facilities, and employment opportunities, with consideration for all qualified applicants regardless of protected characteristics.

Tech Stack

Categories

Sportradar

About Sportradar

1,001-5,000 employees

Sportradar builds data, odds, and integrity services that power sportsbooks, iGaming operators, media companies, and sports federations. Its products include real-time sports data feeds, trading tools, virtual sports, integrity monitoring, and digital content, sold via SaaS and data-rights partnerships. Founded in 2001 and headquartered in St. Gallen, the NASDAQ-listed company covers more than a million events annually and works with organizations such as the NBA and UEFA.

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