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.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Expedia Group B2B is the business-to-business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments.
We are looking for a Machine Learning Scientist II to join the Expedia Group B2B Machine Learning Science team. In this role, you will build end-to-end ML solutions for personalized recommendations, learning to rank, and relevance optimization. These systems are foundational capabilities that drive substantial value for our partners and Expedia Group. We champion a test-and-learn culture by continuously experimenting, analyzing, and improving the algorithms that have helped make B2B one of the fastest-growing divisions at EG.
This role offers a unique opportunity to gain expertise in commercial acumen, engineering, analysis, and applied machine learning at scale. We are looking for an individual who has a solid foundation in machine learning and engineering, is passionate about driving meaningful impact while being mindful of the broader business context in which their work sits, is comfortable with ambiguity, and enjoys the challenge of tackling open-ended problems.