Working Student Software Development, AI Development, LLM's (d/m/f/x)

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: V000072304 What tasks do you expect? As a working student (d/m/w/x), you support us in the deployment and integration of Large Language Models for enterprise-wide use. Together with an experienced, interdisciplinary team, you manage Large Language Models, from GPT and Anthropic models to open source models, and make them usable for our colleagues worldwide. You will participate in benchmarks and the evaluation of new models and frameworks. Quality and efficiency are guaranteed by the application of best practices in software engineering. You work in an agile team with developers, ML engineers and real AI enthusiasts. You advise AI Use Cases to enable and strengthen AI use.

How do you fit into our team? You will complete your studies in computer science, business informatics or similar course. You bring experience with LLMs and ML frameworks (e.g. LangChain, Hugging Face). You have knowledge with AI Agents and first project experience. A strong interest in the latest developments in Generative AI will help you. You are motivated to work in an agile team and develop innovative solutions. You want to work regularly on site in Karlsruhe with your colleagues. You complement our team with very good German and English skills in word and writing. Convince us with your own creations: Share your GitHub profile, a personal project or an exciting experiment. Unlock your chance: Send us your complete application (incl. registration certificate, note overview, if necessary residence permit) and become part of our team!

Hybrid work possible Employee handy possible Health measures Employee discounts possible Staff Events Food supplements Lifelong learning Mobility offers Employee participation possible Coaching Employment Flexible working time possible Good connection Kantine, Café Parking space Accessibility