To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
By joining the Expedia Group 2026 Global Summer Internship Program as a Machine Learning 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:
- Onboarding: Connect with your cohort, receive support, and set up for success in your first week
- Intern Bootcamp: Role-specific technical and professional skills learning, both in-person and virtual, delivered in your first week to help you get set up for success
- Meaningful work and projects: Interns join a variety of Expedia Group teams and directly contribute to business workstreams and priorities; at the conclusion of the internship interns present their work to team members and senior leadership
- Learning Series: Interactive workshops delivered by our Learning team to build professional & soft skills, and support development, including topics such as personal branding and presentation skills
- Leadership Series: Exclusive intern-only events with our Travel Leadership Team leaders to learn about their career journeys, hear their views on industry and company trends and ask questions!
- Social events: Regular fun events organized for each regional cohort so you can get to know others, enjoy the Expedia Group culture, and enjoy some downtime!
- Mentorship: Mentors are assigned to each individual intern to support your development and learning throughout the program and are also a great way to build your understanding and network at EG.
- Support: Coaching and advice, provided by managers, team navigators (buddies) and a specific point of contact per region from Emerging Talent & Careers.
What You’ll do:
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!
- Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
- Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem
- Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
- Conducting feature engineering and modifying existing models/techniques to suit business needs
- Developing domain expertise in fraud & risk to understand how to detect risky transactions
- Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience
- Framing business problems as data science problems with a concrete set of tasks
- Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work
Who You Are:
We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled ‘Must’ and are interested in this role, we encourage you to apply!
- Must be available to commit to the full program dates:
U.S.A: Cohort 1: May 18 – July 24, 2026 or Cohort 2: June 22 – August 28, 2026
- 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 2026 and July 2027
- 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
- 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
