Bachelor's / Master's Thesis - Applied AI: Machine Learning & AI Agents (m|w|d)

Skills & Requirements

• You are studying Computer Science, Computer Engineering, Data Science, Mathematics, Information Technology, or a related STEM field, ideally with a focus on Machine Learning or Artificial Intelligence.
• You are enrolled at a German university, will remain enrolled for at least another 12 months, and can arrange academic supervision for your thesis at your university.
• You have a solid theoretical understanding of Machine Learning and Deep Learning, along with good Python programming skills and experience with libraries such as scikit-learn, pandas, NumPy, or PyTorch.
• You take ownership and independently drive topics forward.
• You enjoy tackling challenges actively and solving them pragmatically.

At idealo you can expect

• You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.
• And what about the office? Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.
• In need of additional support in any areas of your life? We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice .
• You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!
• Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.
• And what else is there? Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026

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