Applied Science Intern, Masters

About the Role

At Expedia Group, we help travelers explore the world. We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Join us and do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.

As an Applied Science Intern in the 2027 Global Summer Internship Program, you will integrate into our community and gain a well-rounded experience. Our global program offers an opportunity to contribute to business-critical projects by developing your skills through tailored learning and training, providing ongoing support, and offering insightful intern-specific events.

In This Role You Will

• Make an immediate impact on reimagining the way people search for travel by inventing brand-new techniques to power global travel.
• Contribute to technical innovation by building pipelines, prototyping new ML models with A/B testing, and applying new techniques to services that run tens of thousands of requests per second.

Key Responsibilities

• Design, prototype, and evaluate machine learning models under the guidance of more experienced machine learning scientists, contributing to well-scoped research and product-focused experiments.
• Implement clean, maintainable model training and inference code using standard Software Engineering practices, including basic unit testing, code reviews, and reproducible experimentation workflows.
• Participate in low-level system design, API design, and data modeling for ML-powered features, learning how to translate product and data requirements into robust, production-aware ML solutions.
• Explore, analyze, and prepare data using fundamental statistical and ML techniques to improve model quality, robustness, and fairness, including feature engineering and basic error analysis.
• Collaborate with peers, mentors, data scientists, engineers, and product partners to understand problem spaces, define success metrics, and iterate on ML solutions that deliver measurable impact.
• Learn to work with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products, including safely integrating and operating AI/ML-enabled solutions.

Requirements & Tech Stack

Minimum Qualifications

• Must be available to commit to the full program dates: May 24th – July 30th or June 21st – August 27th, 2027
• Must be graduating with a Master’s degree in a technical or analytical-related subject between December 2027 and July 2028.
• Must be willing to relocate to the city of the job location if outside commuting distance.
• Must have Python and/or Scala, SQL knowledge.
• Must have no more than 2 years' professional experience.
• Must be graduating from university in the same country as the internship location.

Preferred Qualifications

• Theoretical understanding of various machine learning topics such as Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks.
• Experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java.
• Understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc.
• Familiarity with cloud computing, specifically AWS, in a distributed computing context.
• Ability to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people).
• Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge.

Internship Program Highlights

• Cohort orientation, support, and structured onboarding.
• Role-specific technical and professional skills learning, delivered through a mix of in-person and virtual sessions.
• Contribute to real business priorities and workstreams, showcasing work to team members and senior leaders.
• Interactive workshops focused on professional development and workplace skills.
• Exclusive events with Travel Leadership Team leaders.
• Regular social events to build relationships and experience Expedia Group culture.
• Paired with a mentor for support, learning, and career exploration.
• Ongoing coaching and guidance from managers, team navigators, and a dedicated Emerging Talent & Careers contact.

What We Offer

Compensation

• Seattle: $52 p/h for candidates with a Master’s degree.
• Austin: $52 p/h for candidates with a Master’s degree.
• San Jose: $55 p/h for candidates with a Master’s degree.
• (This compensation is fixed as it is an intern role.)

Benefits & Perks

• Hybrid Work Policy
• Health care benefits: medical, dental & vision options
• Travel discounts
• Opportunity to receive a full-time permanent offer after graduation and 12 months of customized support from our Emerging Talent & Careers team.
• Community support through Expedia Group’s Inclusion Business Groups.
• Relocation support (if eligible).