SAP SAP iXp Intern - PhD Research Associate Summer Bellevue Palo Alto 

United States, Washington, Bellevue 

945299659

Three reasons to intern at SAP

1. Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.
2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
3. Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

What you’ll do

Position Title: SAP iXp Intern - PhD Research Associate (Summer 2025) [Bellevue or Palo Alto]

Expected Start Date: Summer 2025

Contract Duration: 4 months

Work Hours: Full-time, 40 hours per week

• 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
• 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

What you bring

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.

• 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 2025.

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