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Are you excited about solving real world problems using advanced machine learning at one of the largest online travel companies in the world? If so, we’d like to hear from you!Expedia Group is looking for a Machine Learning Scientist II to join our growing Search & Embeddings ML team that powers search, ranking, travel embeddings and personalized recommendations with state-of-the-art machine learning models for the multiple brands and lines of business in our portfolio.Your work will affect millions of our customers and will have a direct impact on our business results. This is an applied research role: your models will be deployed to our production systems and your results will be measured objectively via A/B testing. We collaborate closely with the analytics, product, and technology teams.What you’ll do:
Who you are:
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
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, religion, gender, sexual orientation, national origin, disability or age.
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