AI Machine Learning Intern

AI Machine Learning Intern at SAP

At SAP, the mission is to help the world run better by fostering a culture where employees bring their best and are empowered to grow. As builders touching over 20 industries and 80% of global commerce, SAP seeks unique talents to shape the future. The work is challenging yet impactful, offering a place for personal well-being, constant learning, skill growth, and supportive teams.

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.

As an AI Machine Learning Intern, you will work alongside senior data scientists and engineers to build, optimize, and deploy intelligent systems. 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 stays 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. You will experience a culture of collaboration, partnering with experienced SAP colleagues and expert mentors who will support your growth professionally through personalized mentoring, coaching, and career development support.

This role offers a project-driven experience to kickstart your career with hands-on learning, making an impact from day one. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of learning sessions. You will also gain visibility, building relationships with leaders and peers across teams and functions, showcasing your ideas, skills, and creativity in a global, fast-paced environment, opening doors for future career opportunities within SAP and beyond.

Meet your team – What do we do?

The SAP Business Technology Platform (BTP), BTP Fabric - Business Services team is responsible for developing 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 – to enable developers to focus on creating value through innovation and extensions. By fostering consistency and offering a shared approach for ABAP and non-ABAP based application development on top of BTP, the team enables ecosystems of developers, partners, and customers a unified foundation to deliver tailored, interoperable solutions that address all business needs.

Key skills/competency

• Machine Learning
• Deep Learning
• Data Science
• PyTorch
• TensorFlow
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• MLOps
• Docker
• Data Engineering
• Problem Solving
• Algorithm Development
• Experimentation
• AI Research