SAP iXp Intern - AI Research PhD Associate (Summer 2026)

SAP • Stanford, CA

8d • Hybrid

About The Position

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it’s the foundation for a career built on connection, creativity, and impact. As a PhD Intern you will work with a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units and providing smart services across and beyond the SAP portfolio. You will have the chance to work with some of the richest data sets available in the world addressing real-world problems.

Requirements

• You are a PhD student at least in your second year or PostDocs, specializing in our research area: Generative Foundation Models on Structured Data
• Experience with a strong foundation in machine learning, including building systems utilizing deep learning, natural language processing, LLMs, Foundation Models, or Knowledge Graphs
• A strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS
• Proficient in PyTorch, Python, and HuggingFace Transformers, with a good understanding of statistical analysis and shell programming
• Must be fluent in English.
• The duration of the internship is at least 4 months but ideally 6 months and should take place in 2026.

Nice To Haves

• We’re looking for someone who takes initiative, perseveres, and stay curious.
• You like to work on meaningful innovative projects and are energized by lifelong learning.

Responsibilities

• Perform state of the art research to advance Machine Learning and Artificial Intelligence
• Choose from different focus topics: Foundation Models on Structured, Tabular Data; Scalable access to business data using LLMs and Knowledge Graphs
• Publish research results and contribute to research that can be applied to SAP product development
• Collaborate with academic researchers and cross-functional partners including communicating research plans, progress, and results

Benefits

• Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
• personalized mentoring, coaching, and career development support.
• endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions

What This Job Offers

• Job Type: Full-time
• Career Level: Intern