Site/Systems Reliability Intern - Summer 2026

The Walt Disney Company has spent 100 years immersing audiences in new and stunning experiences using groundbreaking technology. Your work as a Disney intern would inspire innovation and bring fresh perspectives to impact guests and consumers worldwide. “We Power the Magic!” That’s our motto at Disney Experiences Technology (DXT). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney!

We are looking to fill a Site/Systems Reliability summer internship within the Disney Experiences Technology organization based in Orlando, Florida, specifically within the Commerce Technical Operations (Site Reliability Engineering) team.

We are seeking students studying Computer Science or related field for a paid, 12-week summer internship program designed to provide current students with the opportunity to apply their technical skills to real-world projects with industry leaders in Technology. Our Disney Tech Internship program is dedicated to providing meaningful opportunities for students through professional development, mentorship, networking opportunities, and career placement assistance. You will design, develop, and deploy intelligent systems and applications using machine learning, deep learning, and other AI techniques. You will work closely with product managers and engineers to translate business requirements into scalable AI-powered solutions in support of the Yield Management program.

You will

· Design, build, and maintain AI/ML models and AI-driven software applications

· Implement and optimize algorithms for performance, scalability, and reliability

· Integrate AI models into production systems and APIs

· Work with large datasets to train, test, and evaluate models

· Monitor, debug, and improve model performance over time

· Stay current with AI research, tools, and best practices