Machine Learning 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

Join our division, "Sportradar ad : s", where we provide data-driven marketing and sponsorship services to the iGaming industry. Our purpose-built tools and services cater to the individual marketing needs of sportsbooks and media publishers worldwide. Imagine working in an environment surrounded by sports data, live play-by-play statistics, virtual sports, microservices, and betting – all while maintaining an agile mindset and a commitment to delivering exceptional value for our customers. We're passionate about our work and deeply care about our people. If you're ready for the challenge, join us in growing, innovating, and developing

THE CHALLENGE :

As a (Senior) ML Engineer in the AI team at Sportradar, you will have the opportunity to shape and contribute to all components of our AI stack—from the initial idea to the final product. Your work will span model training and fine-tuning, MLOps, deployment and monitoring, ensuring our

AI-driven solutions are scalable, efficient, and impactful.

We follow an experiment-based approach, continuously testing new ideas, analyzing results, and sharing insights across the division to drive innovation. You will collaborate closely with sales and product managers to develop cutting-edge AI solutions that enhance our marketing and sponsorship services. Our technology stack relies on scalable microservices hosted in the cloud, allowing us to build flexible and high-performance AI-powered products.

From a technical perspective, our AI solutions are built on a scalable, cloud-native architecture within AWS.

Key Responsibilities :

• Contribute and grow as part of a self-organized, agile software development team
• Build our advertising technologies - from understanding the requirements to creating the fully functional data / AI solutions
• Design and craft highly scalable, fault-tolerant ML / AI systems, while keeping your focus on quality, observability and security
• Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture
• Share ideas and insights to different stakeholders within the division

ABOUT YOU :

YOU MIGHT BE A GOOD FIT IF YOU :

OUR OFFER :

While we value the opportunities to work from home, we truly believe that being together, and sharing ideas, opportunities, trials and tribulations with teammates make us stronger and more innovative – individually and as a company. We strengthen the fibers of our Company each and every day, just by being together. For this reason, we operate a hybrid model where we are in the office 3 days a week.

The minimum monthly salary for this position is according to the Collective Bargaining Agreement, overpayment will be considered depending on qualifications and working experience.

We relocated to our office near the Nordbahnviertel (Praterstenr) in the 2nd district of Vienna in Q1 / 2024. Due to the top inner-city location, we are excellently connected to the public transport network and the cycle path network and are therefore very easy to reach. In addition, we offer our employees a state-of-the-art infrastructure near the center of the most livable city in the world.

OUR RECRUITMENT PROCESS :

Additional Information

The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.

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