SAP Ariba iXp Intern - AI Machine Learning

Company: SAP
Location: Palo Alto
Posted on: July 15, 2025

Job Description:

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 1. Culture of collaboration : Meet with mentors, make new friends across the globe, and create a thriving personal network. 2. Project-driven experience : gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 3. Gain visibility : with the 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 Ariba iXp Intern - AI Machine Learning Location: Hybrid - Palo Alto Expected start date: June 2025 Duration: 6- 12 months Working hours: Full-time (40 hrs./week) As a Core AI Machine Learning Intern, you will be tasked with working with Senior MLE Engineers, Senior Data Engineers, and Senior Data Scientists to deliver Innovative AI Algorithms to serve our Customers. The goal is to ensure that the individual can take Artificial Intelligence algorithms from Concept to Production, thus requiring both Data Science as well as MLOPs skill sets. Deliverables will include Vector Search, Guided Buying Recommendations, and Agentic workflows to Production Vector Search is an integral part of Ariba for Enterprise-based search. We intend to build next generation of search capabilities that will delight our customers with relevant search results GBR is a service that delivers personalized recommendations to our customers. We are looking to revamp this service with novel DevOps and MLOPs infra. In addition to following best practices What you 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. Skills desired are Python programming skills, MLOPs - Linux, Docker containerization, working with Vector and regular DB, Familiarity with Agentic frameworks like Langchain, LangGraph, and Function. Calling, Familiarity with Generative Pretrained Networks, including understanding of Knowledge distillation, Low Rank Adaptation-LoRA, fine-tuning etc The candidate must have taken classes in ML, Data Science, and Statistical Machine Learning, The Candidate must have deployed ML models into production previously and be hands-on with using git repo as well as CI/CD pipelines Education: Master’s Degree or a Bachelor's Degree in Data Science, Machine Learning or Computer Science from a top University 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 Meet your team: The team is spread out across the United States. We have a presence in the Palo Alto, San Ramon, and San Francisco SAP offices. We will pair the ideal candidate with one of our lead Engrs. to ensure that they’re brought up to speed quickly and can start making contributions to the team. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 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. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits . Requisition ID: 422658 | Work Area:Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: LI-Hybrid

Keywords: SAP, Union City , SAP Ariba iXp Intern - AI Machine Learning, IT / Software / Systems , Palo Alto, California