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About the Role

As an Applied Science Intern in the Expedia Group 2027 Global Summer Internship Program, you will fully integrate into our inclusive community and gain a well-rounded experience. This 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. You will make an immediate impact on reimagining the way people search for travel by inventing brand-new techniques to power global travel for everyone, everywhere.

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 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

Must be available to commit to the full program dates: May 24th – July 30th or June 21st – August 27th.
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.
Must have Python and/or Scala, SQL knowledge.
Must be graduating from university in the same country of internship location.

Skills

Theoretical understanding of various machine learning topics like 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, AWS specifically, 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.

Location

Seattle
Austin
San Jose

Work Type

Hybrid Work Policy

Experience Level

Internship

Education Level

PhD degree in a technical subject

Salary/Compensations

$56 p/h for PhD degree in Seattle
$56 p/h for PhD degree in Austin
$61 p/h for PhD degree in San Jose

Benefits

Competitive compensation package
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)
Medical, dental, and vision coverage
Paid time off
Employee Assistance Program
Wellness and travel reimbursement
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
We are 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.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
This employer participates in E-Verify.
The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.