Applied Science Intern - PhD - 2027 - Austin, San Jose, Seattle

Expedia•San Jose, CA

4d•$56 - $61•Hybrid

About The Position

By joining the Expedia Group 2027 Global Summer Internship Program as a Applied Science Intern you’ll 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. We’re building a more open world. Join us. Internship Program Highlights: Start strong from day one: Your first week is designed to help you build connections, settle in quickly, and get set up for success through cohort orientation, support, and structured onboarding. Learn the skills that matter: You will take part in role-specific technical and professional skills learning, delivered through a mix of in-person and virtual sessions, to help you build confidence and capability from the start. Work on meaningful projects: Interns join Expedia Group teams and contribute to real business priorities and workstreams. At the end of the internship, you will showcase your work to team members and senior leaders. Grow beyond your day job: Our Learning Series includes interactive workshops focused on professional development and workplace skills, with topics such as personal branding, communication, and presentation skills. Gain exposure to leaders: Through our Leadership Series, interns take part in exclusive events with Travel Leadership Team leaders to hear about their career journeys, learn more about the business, and ask questions directly. Build your network and community: You will join an intern cohort and take part in regular social events designed to help you build relationships, experience Expedia Group culture, and have fun along the way. Receive dedicated mentorship: Every intern is paired with a mentor to support development, learning, and career exploration throughout the program, while also helping expand your network across Expedia Group. Feel supported throughout the experience: Interns receive ongoing coaching and guidance from managers, team navigators, and a dedicated Emerging Talent & Careers contact, so there is always a strong support system in place. In this role, you will: Travel is so much more than simply reaching your destination. Along the way you will make an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group – the sky’s the limit! 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

Nice To Haves

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

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.

Benefits

competitive compensation package
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)
medical, dental, and vision coverage
paid time off
Employee Assistance Program
wellness and travel reimbursement
travel discounts
International Airlines Travel Agent Network (IATAN) membership