Machine Learning Engineer

ABOUT SOFASCORE

Sofascore is a sports-tech company created with one goal in mind – giving sports enthusiasts a deeper understanding of the game.

Our platform is the leading provider of advanced sports insights. From the biggest derbies to amateur matches, every game counts - that’s why we have the largest data coverage with 20,000+ tournaments across 25 sports. This comes easy with Torneo, our very own tournament management software for lower leagues.

The global recognition of the Sofascore Rating, along with the Player of the Season award for the highest-rated players, positioned us as the authority in evaluating player performance.

The Sofascore team counts more than 300 experts in 20 teams, primarily playing at our home court in Croatia, but we also have talents showing their skills worldwide.

More about the company /// More about the platform

ABOUT THE ROLE

At Sofascore, we build products used by tens of millions of people worldwide, turning large volumes of sports and user data into meaningful experiences.

We are looking for a Machine Learning Engineer to join our AI Team and work on real-world ML problems across recommender systems and personalized feeds, semantic search, sentiment analysis, NLP, LLM-powered applications, and other machine learning use cases, potentially including computer vision.

This is an engineering-focused ML role. We are looking for someone who goes beyond experimenting with models in notebooks: someone who can take an ambiguous product or business problem, understand the data behind it, choose an appropriate approach, and turn it into a…