Senior Machine Learning Engineer

Place of work: Zagreb Office

ABOUT SOFASCORE

Some tell stories with words, we tell ours with numbers. Sofascore is a sports-tech platform created with one goal in mind – giving sports enthusiasts around the world a deeper understanding of the game. 

We pride ourselves with being the leading provider of advanced sports insights, covering more matches than anyone else on the planet: 20,000+ tournaments across 25 sports in 40+ languages. 

From the biggest derbies to amateur matches, Sofascore knows every game counts and that’s why we always aim to have the largest data coverage out there. This comes easy with Torneo, our very own tournament management software.

Original features such as the Sofascore Rating allowed us to position ourselves as the authority in evaluating player performance. Our unique algorithm took years to perfect and is an objective look at what’s happening on the pitch, more contextual than ever before. This led to the Player of the Season award, an accolade recognized by fans, players and media alike, founded to honor the best of the best. On the other hand, developing features like Sofascore Fantasy allowed our users to manage teams in numerous leagues worldwide, including the Champions League.

The Sofascore team counts more than 300 experts, primarily playing at our home court in Croatia, but we also have talents showing their skills worldwide.

ABOUT THE ROLE

At Sofascore, we are passionate about redefining the sports experience for millions of users worldwide through cutting-edge technology. We are looking for an experienced Senior Machine Learning Engineer to join our AI Team. This is a key role for someone eager to apply advanced ML techniques in production at scale, contributing to projects that directly impact our users: recommender systems, personalized feeds, sentiment analysis, and semantic search.

As a Senior ML Engineer, you will be responsible not only for developing state-of-the-art models but also for ensuring their robustness, scalability, and seamless deployment into production environments. You will work closely with other engineers, data scientists, and product teams to deliver intelligent, reliable, and high-performing solutions.

Your responsibilities

• Design, build, and deploy production-ready ML systems with high reliability and scalability.
• Develop, evaluate, and optimize recommender systems, feed systems, and NLP-driven solutions (e.g., sentiment analysis, semantic search).
• Implement robust MLOps practices using Docker, Kubernetes, and cloud platforms.
• Collaborate on system design, data pipelines, and end-to-end lifecycle management of ML models.
• Write clean, maintainable, and high-quality code following engineering best practices.
• Mentor and support less experienced colleagues, setting standards for technical excellence within the team.
  

What we are looking for

• 5+ years of industry experience working on machine learning projects, with a proven track record of delivering models into production.
• Strong knowledge of recommender systems, NLP methods, and modern ML architectures (including transformers and LLMs).
• Proficiency in Python (or similar), with excellent coding and debugging skills.
• Hands-on experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes).
• Strong understanding of MLOps, CI/CD pipelines, monitoring, and model lifecycle management.
• Ability to design scalable solutions, from prototype to production.
• Strong problem-solving mindset, curiosity, and passion for innovation.

What sets you apart

• Experience working on large-scale consumer-facing ML systems.
• Familiarity with cutting-edge LLM applications and their integration into production systems.
• Research background, evidenced by impactful contributions, publications, or applied innovations.
• Experience mentoring and providing technical leadership in a collaborative team environment.

What we offer

• The opportunity to work with a cutting-edge sports platform impacting millions worldwide
• Family benefits package
• Education - internal and through international conferences and workshops
• Top quality equipment and budget for Mobile phone
• Paid package of general physical examination once a year
• Sofascore Canteen (lunch options) 
• Sofascore Bar (coffee and drinks on us)
• Numerous other benefits that we would verbally communicate to you