Internship: Knowledge Graph Extraction F/M

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 build:

• A proof-of-concept pipeline that automatically extracts structured knowledge graphs from SAP Notes, help documentation, and system alert reports.
• NLP and LLM-based models for entity recognition, relation extraction, and co-reference resolution tailored to SAP-specific terminology.
• An evaluation framework to measure the accuracy, completeness, and usability of generated knowledge graphs.
• Comprehensive documentation, including literature review, benchmarking, methodology, results, and potential production extensions.

What you bring:

• Strong background in NLP, machine learning, and Python programming.
• Experience with LLM fine-tuning, Hugging Face Transformers, PyTorch/TensorFlow.
• Familiarity with knowledge graphs, RDF, and graph databases (e.g., Neo4j, Apache Jena) or semantic web technologies.
• Strong analytical skills, including literature review, benchmarking, and evaluating novel approaches.
• Interest in enterprise systems, technical documentation, and applied research.
• Good communication skills to present results and collaborate with stakeholders.

Where you belong:

• In a research and development setting focused on enterprise knowledge management.
• In a team that values transforming large volumes of unstructured text into actionable, structured knowledge.
• In an environment where you can combine NLP, LLMs, and graph technologies to improve SAP system monitoring, support, and analytics.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can 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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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: | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations:  #LI-Hybrid