Job Specifications
This role is with SAP. WayUp is partnering with SAP to hire top talent.
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
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.
Position title: SAP iXp Intern
AI Machine Learning
Location: Palo Alto, CA (in-person)
Expected start date: June 2026
Contract Duration: 6 months (extendable)
Working Hours: 20-40 hours/week
As an AI/ML Intern, you will work alongside senior data scientists and engineers to build, optimize, and deploy intelligent systems. You won’t just be watching from the sidelines; you will be responsible for exploring messy, real-world datasets, training models, and helping integrate AI features into our core products.
Data Engineering: Collect, clean, and preprocess large-scale structured and unstructured datasets to ensure they are "model-ready."
Model Development: Assist in designing and implementing ML algorithms (Supervised, Unsupervised, and Deep Learning) using frameworks like PyTorch or TensorFlow.
Experimentation: Conduct A/B testing, hyperparameter tuning, and error analysis to improve model precision and recall.
GenAI & LLMs: Work with Large Language Models (LLMs), including prompt engineering, fine-tuning, and implementing RAG (Retrieval-Augmented Generation) pipelines.
MLOps: Help maintain and monitor model performance in production; assist in containerizing models using Docker for deployment.
Research & Documentation: Stay current with the latest AI research (e.g., via arXiv) and document your experimental results for the wider engineering team.
What you’ll 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.
Education: Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Mathematics, or a related quantitative 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
Problem-Solving: A proven ability to break down complex problems and think through edge cases.
Curiosity: A strong desire to learn new libraries and stay updated on the fast-moving AI landscape.
Where you belong
Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.
Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.
Meet your team
What do we do?
SAP Business Technology Platform (BTP), BTP Fabric
Business Services will be responsible for developing a consistent, scalable, and high-quality reusable business capabilities and services. These foundational constructs standardize essential elements — business entities, workflows, data models, and common reusable APIs/services — so that developers can focus on creating value through innovation and extensions in a highly productive way rather than reinventing basic frameworks. By fostering consistency and offering a shared approach for ABAP and non-ABAP based application development on top of BTP, we will enable ecosystems of developers, partners, and customers a unified foundation to deliver tailored, interoperable solutions that address all business needs.
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