Principal Machine Learning Scientist - Search and Personalization

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.Introduction to the TeamExpedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.We are looking for a Principal Applied Scientist to join our growing Personalization, Search & Recs team. This Principal will be a key contributor to thought leadership, development and optimization of Expedia’s Search & Personalization AI models including natural language search, multi-modal search, recommendations, and generative AI–based traveler experiences. The ideal candidate for this position is a true deep learning, ML expert who can develop effective AI solutions for search and recommendations. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. This is a rare opportunity to build foundational systems in a high-impact strategic area, backed by Expedia’s AI-first vision.In this role, you will: Drive the research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systemsArchitect hybrid multi-modal retrieval frameworks, combining text, image, and structured data to power relevant and diverse content discoveryDevelop and optimize multi-stage ranking pipelines, leveraging deep learning, generative retrieval, and other advanced algorithms to maximize relevance and engagementLead efforts on intent understanding, utilizing user queries, behavioral signals, and context for superior search and recommendation accuracyAdvance personalization strategies using embeddings, user-item modeling, and context-aware algorithms to tailor content to individual usersPioneer cutting-edge sequential recommender systems that account for evolving user preferences, session context, and temporal dynamicsDesign robust offline and online evaluation methodologies, including A/B testing, counterfactual estimation, and metric developmentCollaborate closely with cross-functional engineering and product teams to translate business needs into machine learning problems and production-ready solutionsMentor and guide a team of scientists, driving best-in-class research and deployment practicesMinimum Qualifications:PhD, or MS, in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience10+ years of related industry experienceExperience building production-grade search, recommendation or personalization systemsStrong understanding of intent understanding techniques, retrieval methods, deep learning for recommendations, reinforcement learning, and causal inferenceProficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorchExperience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop)Familiarity with A/B testing and experimentation methodologiesAbility to work with large-scale, real-world data with attention to bias, fairness, and privacy·Excellent communication skills for both technical and non-technical audiencesDemonstrated ability to mentor and technically lead research or engineering teamsA passion for building user-centric AI products and a keen curiosity about advancing the state-of-the-art in search and recommendationsPreferred Qualifications:Experience in the travel or e-commerce industryFamiliarity with cloud platforms (AWS, GCP, Azure)Publications in top-tier ML conferences or journalsContributions to open-source ML projectsExperience in personalization systemsExperience taking models from prototype to production in collaboration with Machine Learning Engineering teamsThe total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.Benefits and perksExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at .Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at .About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is .Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.SummaryLocation: Washington - Seattle Campus; USA - California - San JoseType: Full time