"We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

About the SAP Internship Experience Program

 

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.

 

Three reasons to intern at SAP 

Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.

Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 

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 - AI Scientist 

Location: Palo Alto, CA 

Duration: 6 Months 

Schedule: 40 HR/Week 

 

 

As an AI Scientist Intern, you will be working on strategic SAP topics that helps in SAP’s vision to embed Artificial Intelligence into SAP Enterprise Applications like S/4 HANA, SuccessFactors etc. As a member of Business AI Unit at SAP, you will have the opportunity to work in any of machine learning tasks like building foundation models for enterprise, work with large language models including fine tuning models, knowledge graphs, Natural Language Query processing with enterprise context or general NLP tasks. For this position, you will be working on generative AI foundations team and work on Agentic AI topics and fine tuning LLMs for enterprise needs.

You will be working in the heart of Silicon Valley and be part of a vibrant intern community on the SAP Palo Alto campus (monthly events, regular community lunches, networking sessions, expert presentations). Connect with world leading software engineers, become part of the worldwide SAP network of experts, partners, and customers, have an extraordinary executive visibility. Free lunch, ice cream, beverages and coffee, onboarding assistance and subsidy for public transport.

 

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.

 

As Intern AI Scientist, on a day-to-day basis, you will collaborate with engineers and experts in the fields of machine learning and SAP enterprise domain, apply your knowledge to solve

interesting data-driven problems and work hands-on to implement your ideas. You will be tackling complex technical challenges independently and as a member of small teams. As an AI Scientist, you will articulate machine learning problems for a use case, build machine learning models, validate them, share the results and possibly deploy them for consumption. You will prototype technology concepts with short turnaround times.

 

Qualifications: 

 

Education: Bachelors or Masters degree in a related field.  Graduating Seniors/2nd Year Masters highly desirable.

Preferred Concentrations: Computer Science, Machine Learning, Mathematics, Statistics or related field 

Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s or JD/PhD program 

Experience with Python, with an emphasis on data-science and machine-learning related libraries (Scikit-Learn, Pandas, Numpy, TensorFlow or PyTorch), LLM framework like LangChain/LangGraph, CrewAI etc

Nice to have exposure to TensorBoard, MLFlow or pipeline frameworks , Agentic Framework, Graph ML, PyTorch or ML Framework

Work with state-of-the-art machine learning and deep learning models especially fine tuning foundation models

Identify additional challenges and document how we might overcome them

Excellent knowledge in popular modern machine learning algorithms

Great mathematical skills.Strong enthusiasm and interest in new technologies and business models of the next generation"