Abschlussarbeit Large Language Models & Machine Learning

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003UED You're burning for artificial intelligence and you don't just want to see how it changes the world, but how it works? Perfect! In our department we develop future-oriented AI solutions with enthusiasm and heart blood. We combine latest scientific methods with pragmatic implementation to set standards in the field of generative AI. Become a bridge builder between research and practice. With us you are not only a encoder, but also a researcher. You immerse yourself in the theory behind Large Language Models, perform experiments and validate hypotheses. At the same time, you pack up and bring your findings directly into practice: you implement algorithms, integrierst models in our systems and see how your work creates real added value. What we offer you: Exciting projects: Wirke participates in topical LLM projects and experience innovation close to the skin

Personal development: Deepen your knowledge in ML, LLMs, Python, Docker and UX design through direct application and mentoring from our experts

Flexibility: We know your studies have priority. We make your working hours flexible and in consultation with you

A strong team: Work in a highly motivated, friendly and interdisciplinary environment where your ideas are heard

Fair remuneration: Your valuable work is, of course, appropriately remunerated

Your mission: From theory to application Research & Experimenting: You analyze and develop algorithms in the LLM area and conduct experiments to validate and optimize the models

Implementation & implementation: You bring models with Docker, PaaS and other modern technologies to run and integrate them into our applications

Optimize & Analyze: Use classic ML algorithms (e.g. for clustering), prepare data and help improve our training data sets

Design & Improve: You support our team in developing and improving user-friendly UX designs for our AI applications

The activity can begin from December 2025. The final topics will be discussed with the university, you and us.

You are studying computer science, mathematics, physics or a similar course of study and have a passion for data and AI

You speak fluently Python and have ideally already gained first experiences with great language models

You know about Transformer architectures (e.g. BERT) and modern techniques such as RAG and the handling of Embeddings are familiar to you

Experiences with Docker and basic knowledge in UX design are a plus, but no need

Knowledge of data and semantic modeling is also advantageous

You are a team player, like to introduce your own ideas and want to crack complex problems

You can communicate safely in German and/or English

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (SBV-Zentrale@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

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