Applied Science Intern, Masters

About the Role

Expedia Group is a global travel company that connects travelers, partners, and advertisers through its brands, B2B network, and travel advertising business. As an Applied Science Intern, you will contribute to business-critical projects by developing your skills through tailored learning and training, receiving ongoing support, and participating in intern-specific events. This role is part of the Expedia Group 2027 Global Summer Internship Program.

Key Responsibilities

• Design, prototype, and evaluate machine learning models under the guidance of experienced scientists.
• 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.
• Explore, analyze, and prepare data using fundamental statistical and ML techniques, 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.
• Learn to work with AI-driven systems, tools, or workflows and apply AI/ML concepts to real-world products.

Requirements & Tech Stack

Must-Haves

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

Preferred Qualifications

• Theoretical understanding of various machine learning topics (e.g., 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 (technical and non-technical).
• Knowledge of Java, R, C++, Hive, Hadoop, Microsoft SQL Server.

What We Offer

• Competitive compensation:
• Seattle & Austin: $52 p/h for Master’s degree candidates.
• San Jose: $55 p/h for Master’s degree candidates.
• Hybrid Work Policy.
• Health care benefits: medical, dental & vision options.
• Travel discounts.
• Opportunity to receive a full-time permanent offer after graduation.
• 12 months of customized support from the Emerging Talent & Careers team.
• Community support through Expedia Group’s Inclusion Business Groups.
• Relocation support (if eligible).