Software Engineer

Company Description

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.

Job Description

Job Description

Interested in Artificial Intelligence, 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, athletes, and teams 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 will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans 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 the Indoor Sports Squad, who are currently building an advanced tracking solution for basketball. You will importantly contribute to this development and work alongside a diverse AI team bringing this solution to production.

About the role 

The team you will join is working on basketball optical tracking from broadcast video – player and ball detection, identification, tracking, 3D localization and event detection. The project includes, in addition to computer vision research work, a lot of software engineering infrastructure enabling the initial video stream to become datapoints in the hands of the customer. 

As Software Engineer, you will play a key role in designing, developing and maintaining infrastructure around data acquisition (ingestion, transformation, availability), model integration, containerization, processing pipeline integration, computational and cost optimization, evaluation pipelines, integration with downstream consumer applications, including work on databases, APIs, tools and services.

Responsibilities 

• Integrate, monitor, orchestrate and maintain our ML models into a system that fulfills the business requirements, build, test, deploy and maintain backend services for our computer vision applications 

• 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, and documented code 

• Participate in code review processes 

• Build reusable code libraries 

• Design, implement, and extend APIs 

Your skills 

• Proficiency in Python. Experience with other languages will be considered a plus 

• Strong experience in managing larger projects from their conception to their maturity 

• Expertise in CI/CD pipelines for software release lifecycle 

• Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC, AsyncAPI) 

• Familiarity of Cloud Service Providers (especially AWS) 

• Solid knowledge of containerization technologies and processes 

• Experience with message brokers (especially Kafka) 

• Experience with databases (relational and non-relational) 

• Knowledge of lifecycle of ML/DL applications 

• Knowledge of video and image formats and processing 

• Excellent communication skills 

• Ability to work independently and as part of a team 

• Strong organizational and problem-solving skills 

Qualifications

Additional Information

Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences