Automatically cataloging more than 2 billion offers from over 50,000 online shops is a complex challenge that requires intelligent and scalable machine learning solutions.
At idealo, our team working on offer recognition and catalog association is responsible for this process, which forms a central part of our price comparison platform.
We develop and apply modern machine learning methods, explore the potential of Large Language Models and agentic AI systems, and ensure our ML systems operate reliably and at scale in the cloud.
From researching and evaluating new approaches to MLOps and production-ready ML systems, we combine scientific research with real-world engineering challenges.
As part of your Bachelor's or Master's thesis, you'll have the opportunity to contribute your own ideas, experiment with emerging technologies, and explore machine learning solutions using real-world e-commerce data.
You'll be supported by experienced software engineers with academic backgrounds and extensive experience supervising scientific research projects.
This gives you the chance to connect academic research with practical challenges at one of Germany's largest price comparison platforms.