Job Description
SAP iXp Intern - AI Machine Learning
Company: SAP SuccessFactors
Location: Palo Alto, CA (On-site, Remote)
Job Type: Internship
Posted: 16 hours ago
Job Description
We help the world run better
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.
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 15 - 62(USD) USD.
