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.

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 AI 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 sports experience for fans, betting 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 Software Engineer to join our team: a diverse, highly skilled, and enthusiastic team, part of the broader Automated Content Unit.

About the role

As a Software Engineer, you will play a key role in designing, developing, and maintaining software solutions that empower the Computer Vision Teams (also part of the Automated Content Unit) to more easily and reliably train, evaluate and deploy complex computer vision and AI systems in production. You will develop software solutions for these systems, including databases, APIs, tools, and services. You will use your software engineering expertise to propose and implement software solutions, based on requirements, that will help the team deliver quickly and efficiently. 

Responsibilities

• Design, build, test, deploy and maintain libraries, components and backend services for our computer vision applications, including data processing pipelines, machine learning model training infrastructure, and API endpoints
• Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently
• Research new technologies and methodologies to address technical issues
• Contribute to the continuous improvement of existing software solutions

The challenge

• Design, build, test, deploy and maintain services hosted in the cloud, that are part of a larger system
• Improve the reliability and efficiency of our stack
• Help reducing the time-to-market of our computer vision solutions
• Write clean, scalable, documented, and understandable code 
• Build reusable code libraries
• Design, implement, and extend APIs

Your skills

• Proficiency (3+ years of professional experience) in Python. Experience with other languages will be considered a plus
• Professional experience (3+ years) in managing larger projects from their conception to their maturity
• Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC)
• Familiarity of Cloud Service Providers (especially AWS)
• Solid knowledge of containerization technologies and processes 
• Professional experience (3+ years) with databases (relational and non-relational)
• Knowledge of lifecycle of ML/DL applications
• Good communication skills
• Ability to work independently and as part of a team
• Strong organizational and problem-solving sills