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About the Role
As a PhD Intern, you will collaborate with experienced researchers and applied scientists on challenges related to scaling AI methods across SAP's business software portfolio. You will work with rich datasets to address impactful customer problems.
Responsibilities
- Perform state-of-the-art research on how LLM-based Agents access Enterprise Data at scale using Knowledge Graphs.
- Publish research results and contribute to research applicable to SAP product development.
- Collaborate with academic researchers and cross-functional partners, communicating research plans, progress, and results.
Requirements
- PhD student at least in your second year or PostDocs, specializing in Knowledge Graphs, agentic AI, QA systems, and knowledge retrieval.
- Strong publication record in recognized ML/NLP conferences or journals (e.g., ACL, EMNLP, NeurIPS).
- Proficient in PyTorch and Python.
- Good understanding of statistical analysis and shell programming.
- Fluent in English.
Skills
- Knowledge Graphs
- Agentic AI
- QA systems
- Knowledge retrieval
- PyTorch
- Python
- Statistical analysis
- Shell programming
- English
Location
- Berlin
- Waldorf
- Virtual remote
Work Type
- Limited Full Time
- Hybrid
Experience Level
- Graduate
Education Level
- PhD
Benefits
- Constant learning
- Skill growth
- Great benefits
- Team support for growth and success
About the Company
- SAP's AI organization is dedicated to integrating AI into enterprise applications to enhance business processes and deliver value.
- SAP innovations assist over four hundred thousand customers globally in efficient collaboration and effective use of business insights.
- SAP is a market leader in end-to-end business application software, including database, analytics, intelligent technologies, and experience management.
- As a cloud company with a global presence, SAP is purpose-driven, future-focused, and committed to personal development.
- SAP fosters a culture of inclusion, prioritizing health, well-being, and flexible working models to ensure employees feel included and can perform at their best.
Equal Opportunity
- SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
- 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.