Working Student AI Search (m/f/d)

As a student, you work with your colleagues at eye level and create ideal conditions for your later career.

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company.

ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

Apply now! In less than 10 minutes.

Enabler for smaller, more powerful and more energy-efficient microchips

Work where the morning arises. About 80 percent of all microchips worldwide are manufactured using ZEISS technologies. As the heart of any electronically controlled system, You are no longer to think away from our everyday life – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of increasingly smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of microelectronics and nanoelectronics with its innovations.

Your role With us you have the opportunity to optimally connect your studies and practice and to actively collaborate on exciting projects. So you gain valuable experiences, build your network and develop both professionally and personally. Further development and optimization of an existing RAG search for the internal wiki

Extraction, structuring and preparation of the Wiki articles for the RAG search

Testing and evaluating the RAG search with typical user questions

Identification and implementation of improvements in response quality

Building a complementary knowledge base with question-answer pairs

Analysis of existing wiki articles (including completeness, comprehensibility)

Creation of clear, implementable revision instructions for expert experts

completed basic studies in the field of computer science, science and technology, data science or comparable

good programming knowledge in Python as well as first experience with web applications and frameworks for the use of LLMs (e.g. LangChain)

analytical, structured and careful working with a view to the quality of texts

good communication skills and joy in cooperation with various disciplines

Sounds exciting? Then become part of #teamZEISS and shape the future with us! Please submit your complete application documents (lifetime, certificates etc.) to us. .