Senior Computer Vision Engineer

Job DescriptionSenior Computer Vision Engineer for Automated Content Interested in Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans, betting and media partners across the globe through world-class computer vision solutions and 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. We are on a mission to automate sports content creation - the data and video – that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey. Our cutting-edge technologies revolutionize the way individuals interact with and participate in sports. We create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the experiences of broadcasters, fans, and media partners by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways. We seek a talented Senior Computer Vision Engineer to join our team: a diverse, highly skilled, and enthusiastic team on the mission to reinvent the world of sports. About the role We are looking for a Senior Computer Vision Engineer to reinforce our talented and enthusiastic Computer Vision (CV) Team, obtaining deep-data from videos of sports. This dynamic team, composed of both remote and headquarters-based experts, works on challenging subjects such as player and ball tracking, segmentation, re-identification, 3D localization, event detection, etc. Your role will be to research, design, implement, compare, integrate and optimize CV solutions to leverage the power of sports data for millions of sports enthusiasts. Join the #1 sport’s data company to tackle real-world challenges, and help us change the way sport is consumed. Responsibilities Research, design, implement, compare, integrate and optimize state-of-the-art CV/ML algorithms for our existing and upcoming productsUse CV/ML to automate and simplify the day-to-day work of manual operatorsShare knowledge within the team, sometimes located across multiple (European) countriesThe challenge Stay up-to-date and apply state-of-the-art CV methodsFind an optimal solution in term of accuracy, considering real-time constraintsCollaborating with a talented team composed of both remote and headquarters-based expertsIntegrate research into real-world productsWrite clean, scalable, optimized, documented, and understandable codeParticipate in code review processes, when area of expertise is applicableBuild reusable code libraries, when those are requiredYour skills 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+ year 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 conceptsMust 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 mindsetStrong organizational and problem-solving skillsBe 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.