Working Student

**We help the world run better**
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

**What you'll do**

After completing your work with embeddings and GNNs, you will help shape the next generation of knowledge exploration within and outside of SAP by supporting the development of a multi-agent LLM system.

**What you bring**
- Master Student (f/m/d) at a research university (ideally early-stage student)
- Preferred fields of study: Data Science, Computer Science, Business Informatics, or similar
- Strong experience in Python, NumPy, Pandas
- Experience with ML training libraries like PyTorch, PyTorch Geometric, Hyperparameter Tuning, and one database Query Language e.g. SQL
- First Experience with Graph Neural Networks (GNNs) is desired
- Optional: First experience in Semantic Web technologies, e.g. RDF, SPARQL, or Knowledge Graphs and AI technologies like LangChain, Langgraph or Langfuse
- Language skills: fluent in English, German is a plus
- We expect you to be able to work self-enabled on a topic, adapt quickly to changing situations, think out of the box to create new solutions and be willing to learn something new regularly.
- Although previous work experience is advantageous, we don’t require it. You should, however, have worked on praxis-oriented projects in the past be it in or outside of university.

**Meet your team**

The SAP Global Content Group provides insights into SAP content and best practices, e.g., for business processes. The GCG Knowledge Graph is the core element to harmonize and integrate content from heterogeneous sources and make it accessible for various use cases. One important goal is to provide access to all the process and business data content that SAP provides, leveraging semantic technologies such as knowledge graphs and related machine learning capabilities to integrate data and to provide meaningful responses to business process-related questions.
You will be part of an international team of software, data management, AI, and business experts.- This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers._
- #Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers_

**Bring out your best**

**We win with inclusion**
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

**AI Usage in the Recruitment Process**

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 433937 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid