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Senior Computer Vision Engineer

Sportradar Germany·Salary not specified

Primary stack

Machine LearningPython

Nice to have's

AgileGitCommunication

Job description

About the Position

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

We are seeking a Senior Computer Vision Engineer to join our Automated Content team within Sportradar. If you are passionate about Computer Vision, Deep Learning, and other modern technologies, this role is perfect for you. We are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science, and beyond.

Responsibilities

  • Research, design, implement, compare, integrate, and optimize state-of-the-art CV/ML algorithms for our existing and upcoming products.
  • Use CV/ML to automate and simplify the day-to-day work of manual operators.
  • Share knowledge within the team, sometimes located across multiple (European) countries.

Requirements

  • At least 3 years of professional experience with Computer Vision and Machine Learning (e.g., multi-objects tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing algorithms, model evaluation).
  • 2+ years of experience in developing or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.).
  • Expert programming skills with Python (and its underlying data-science libraries) and basic software engineering skills (e.g., design patterns, SOLID, etc.).
  • Excellent communication skills in English and ability to effectively communicate complex technical concepts.
  • Must be comfortable with modern software development methodologies such as agile development, git, code review, etc.
  • Autonomous and rigorous, and a team player, with a positive mindset.
  • Strong organizational and problem-solving skills.
  • Be creative and innovation focused.

Work Format

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation - both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.

We Offer

  • Join the #1 sport’s data company to tackle real-world challenges and help us change the way sport is consumed.
  • Be part of a diverse, highly skilled, and enthusiastic team on the mission to reinvent the world of sports.

About the Company

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

© Sportradar Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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