Machine Learning Science Intern - PhD - 2026 - Austin, San Jose
About The Position
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. 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.
Requirements
- 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
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
- Make an immediate impact on reimagining the way people search for travel by inventing brand-new techniques to power global travel for everyone, everywhere.
- Build pipelines and prototype new ML models with A/B testing.
- Apply new techniques to services that run tens of thousands of requests per second.
- Apply statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests.
- Apply Natural Language models to Google keyword analysis and apply meta models to our multi-objective ranking problem.
- Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external).
- Conduct feature engineering and modify existing models/techniques to suit business needs.
- Develop domain expertise in fraud & risk to understand how to detect risky transactions.
- Model rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience.
- Frame business problems as data science problems with a concrete set of tasks.
- Apply domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work.
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/vision
- Paid time off
- Employee Assistance Program
- Wellness & travel reimbursement
- International Airlines Travel Agent (IATAN) membership
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
