SAP iXp Intern - AI Technical Program Manager, AI & Machine Learning

SAP • Stanford, CA

2d • $15 - $62 • Hybrid

About The Position

The SAP Internship Experience Program (iXp) 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. This opportunity offers hands-on experience contributing to real-world AI products and features, with the chance to help bring impactful solutions to users. You will get 1:1 mentorship from senior technical leaders in AI. This will help you build your skills. You will learn how to implement machine learning. You will also understand the challenges of AI product development.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Solid foundational understanding of Artificial Intelligence and Machine Learning concepts (e.g., supervised vs. unsupervised learning, LLMs, generative AI, training vs. inference).
• Solid foundational understanding of Data Analytics and AI concepts (e.g., database structures, ETL/ELT processes, BI reporting, supervised learning, GenAI).
• Solid comprehension of software development lifecycles (SDLC) and agile methodologies.
• Exceptional written and verbal communication skills, with the ability to translate complex AI research or technical concepts for non-technical audiences.
• Highly organized with a robust attention to detail and an initiative-taking, problem-solving mindset.

Nice To Haves

• Experience building an application using Agentic engineering tools like Claude Code
• Previous internship, research, or project experience working on ML, Data Science, or AI infrastructure projects.
• Knowledge with the AI ecosystem, including frameworks (e.g., Langchain) or platforms (e.g., GCP, Azure & AWS).
• Knowledge of data privacy, responsible AI practices, or model evaluation metrics.
• Knowledge with Excel & PowerPoint
• Demonstrated leadership experience in university clubs, hackathons, or group projects focused on AI/ML.

Responsibilities

• Help drive projects through the unique phases of ML development, including data collection/annotation, model training, evaluation, and deployment.
• Act as the connective tissue between ML engineers, traditional software engineers, product managers, and data teams to ensure everyone is aligned on project goals.
• Monitor milestones specific to AI projects (e.g., dataset readiness, model evaluation metrics, inference latency goals).
• Proactively identify bottlenecks—such as data pipeline delays or compute resource constraints—and escalate issues to senior TPMs or engineering leads.
• Observe how the AI teams collaborate and propose lightweight workflows to help streamline data handoffs and model iteration cycles.
• Maintain up-to-date project wikis, status reports, and model documentation (e.g., model cards, data dictionaries) for stakeholders.
• Build reports and updates for SAP’s leadership team.

Benefits

• Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
• Paid internship program
• 1:1 mentorship from senior technical leaders in AI
• Personalized mentoring, coaching, and career development support
• Endless learning resources
• Gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions
• Limited benefits for employees hired into hourly or like roles subject to applicable plan/policy terms.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree