Applied Science Intern, PhD

About the Role

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

As an Applied Science Intern in the 2027 Global Summer Internship Program, you will fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. Our global program offers an exciting 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 to build knowledge and community.

In This Role, You Will

• Invent brand-new techniques to power global travel for everyone, everywhere.
• 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 across different product domains.
• 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 that improve outcomes within defined guidance and scope.

Requirements & Tech Stack

• Must be available to commit to the full program dates:
• May 24th – July 30th
• June 21st – August 27th
• Must have Python and/or Scala, SQL knowledge.
• Must be graduating from university in the same country of internship location.
• Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks.
• Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java.
• Helpful to have 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.
• Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context.
• Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people).
• Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge.

Qualifications

• Must be graduating with a PhD degree in a technical subject (e.g. PhD degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2027 and July 2028.
• Must be willing to relocate to city of job location if outside commuting distance.

What We Offer

• Compensation:
• Seattle: $56 p/h for candidates with a PhD degree.
• Austin: $56 p/h for candidates with a PhD degree.
• San Jose: $61 p/h for candidates with a PhD degree.
• This compensation is fixed as this is an intern role.
• Health care benefits: medical, dental & vision options.
• Hybrid Work Policy.
• 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).
• Benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.