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$173k–$277k/yr
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · Hybrid
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Seattle, Washington, United States · On-site
$30/hr–$32/hr
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
$21/hr–$26/hr
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · Hybrid
$150k–$300k/yr
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · Hybrid
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
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Seattle, Washington, United States · On-site
$26/hr–$42/hr
Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, …
Skills: Supervision, Training, Problem Solving, Multitasking, Oral Communication
Seattle, Washington, United States • On-site
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Lead a team of ML scientists to develop and deploy production-grade ranking and recommendation models for bundled travel products. Define the end-to-end ML roadmap and partner with engineering and product teams to improve traveler experiences.
Requires a bachelor's degree with 8+ years of professional experience and 3+ years of people management experience. Must have strong expertise in modern ML methods for ranking and recommendations and a proven track record of leading end-to-end ML initiatives.
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.
The Whole Trip AI team at Expedia Group enables unforgettable travel experiences. The team’s responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, we’re responsible for optimizing our interactions with travelers across this domain, including cache optimization, pricing forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI-based solutions. We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions.
As a Senior Manager, Machine Learning Science you and your team will own our Bundled Products ranking, recommendations, and intent modeling. You will work closely with stakeholders in Cars, Activities, Attach & Packages to help travelers book multi-item trips with Expedia by surfacing relevant offerings in the right places in the experience. Your team owns multiple high traffic, live models and with significant scope for further growth. You will work with a dynamic group of product managers, engineers, and scientists to achieve Expedia’s business goals.
In this role, you will:
Enable a team to develop industry-leading ranking & recommendation models for the travel industry to enable travelers to have memorable travel experiences
Lead and grow a team of machine learning scientists to deliver production-grade ML solutions that solve complex business problems and improve traveler and partner experiences across multiple product domains
Define and drive the end-to-end machine learning roadmap for your area, from problem formulation and data strategy through model design, evaluation, and productionization in close partnership with engineering and product
Set and enforce best practices for experimental design, A/B testing, and causal inference to ensure ML-driven decisions are statistically robust, interpretable, and aligned to business and customer outcomes
Partner with data engineering and software engineering teams to ensure ML models are scalable, resilient, observable, and well-integrated into services, APIs, and data pipelines in production
Mentor, coach, and develop ML scientists through technical guidance, peer review, and career development, fostering a culture of scientific rigor, continuous learning, and high impact delivery
Apply familiarity with AI-driven systems, tools, or workflows and AI/ML concepts to real world products, safely integrating and operating AI/ML‑enabled solutions that improve outcomes across multiple lines of business
Minimum Qualifications:
Bachelor’s Degree or Equivalent Level; Technical Degree Preferred
8+ years of relevant professional experience and 3+ years of people management experience
Strong expertise in modern machine learning methods in ranking and recommendation with solid programming skills and collaboration experience with engineering teams on system, API, and data design
Substantial professional experience leading end-to-end machine learning initiatives, including problem definition, data preparation, feature engineering, model development, offline evaluation, experimentation, and integration into production systems
Proven experience managing or technically leading machine learning scientists or applied researchers, with ownership spanning multiple services, products, or problem spaces
Preferred Qualifications:
Experience with natural language search and refinement of recommendations using natural language
Experience with multi-modal recommendations across images, structured metadata, and unstructured text
Demonstrated track record delivering large-scale machine learning solutions in high-traffic, data-rich environments, including setting technical direction and architecture for multi-service or multi-domain ML systems
Experience designing and operationalizing experimentation platforms, advanced measurement frameworks, or causal inference methodologies to drive data-informed decision making at scale
Leadership experience in raising the technical bar for ML teams through publication-quality analyses, reusable modeling frameworks, rigorous data and model quality practices, and effective documentation
Proven ability to advance a team’s capabilities with emerging AI/ML techniques and tooling, including GenAI & agentic techniques, to unlock new product experiences and operational efficiencies
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.
Expedia 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 https://careers.expediagroup.com/life.
Expedia 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 https://expedia.service-now.com/askeg?id=job_accommodation.
Expedia 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.
Employment 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 https://careers.expediagroup.com/jobs/.
Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter. 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 about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs. If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links: Expedia: https://www.expedia.com/helpcenter Hotels.com: https://service.hotels.com/en-us/ Vrbo: https://help.vrbo.com/ For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp
Offices: 1111 Expedia Group Way W., Seattle, WA 98119, US · DLF City Phase 1 Road, Gurgaon, Haryana 122002, IN · 1 Martin Pl, Sydney, New South Wales 2000, AU · 65 Rue de la Victoire, Paris, IdF 75009, FR · 63 Rue de Bresoles, Montreal, QC H2Y 1V7, CA
