Senior Manager, Machine Learning Science - Bundled Products Recommendations

Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology. Our portfolio includes three flagship consumer brands: Expedia, Hotels.com, and Vrbo, alongside a leading B2B travel business and travel advertising offerings. We are dedicated to helping travelers explore the world with confidence and ease, fostering an inclusive work environment with a diverse workforce. Our five core behaviors – Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together – guide our culture and support career growth.

Introduction

At Expedia Group, we are powered by passionate people, trusted partnerships, and leading technology to help travelers explore the world. We connect travelers, partners, and advertisers through our consumer brands (Expedia, Hotels.com, Vrbo), B2B network, and travel advertising business. Join us to do meaningful work that helps millions discover, book, and experience travel with ease, confidence, and joy.

The Whole Trip AI team enables unforgettable travel experiences by focusing on search ranking and recommendations for Expedia's core lines of business, including Flights, Cars, Packages, and Activities. Our responsibilities also cover optimizing traveler interactions through cache optimization, pricing forecasting, and next-best action modeling. We utilize both traditional ML and GenAI-based solutions and collaborate with other Data & AI teams to enhance our platforms for deploying industry-leading AI solutions.

As a Senior Manager, Machine Learning Science, you will lead a team dedicated to ranking, recommendations, and intent modeling for Bundled Products. You will work closely with stakeholders across Cars, Activities, Attach & Packages to help travelers book multi-item trips with Expedia by surfacing relevant offerings. Your team manages multiple high-traffic, live models with significant growth potential, collaborating with product managers, engineers, and scientists to achieve business goals.

Responsibilities

• Enable a team to develop industry-leading ranking & recommendation models for the travel industry, enhancing traveler 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.

Requirements

• 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.
• 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.

Nice to Have

• 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.

Benefits

Expedia Group offers benefits and perks designed to support employees and their families, including:

• Medical, dental, and vision coverage.
• Paid time off.
• Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts.
• International Airlines Travel Agent Network (IATAN) membership.

About Company

Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology. Our portfolio includes three flagship consumer brands: Expedia, Hotels.com, and Vrbo, alongside a leading B2B travel business and travel advertising offerings. We are dedicated to helping travelers explore the world with confidence and ease, fostering an inclusive work environment with a diverse workforce. Our five core behaviors – Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together – guide our culture and support career growth.

How to Apply

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/. If you require an accommodation or adjustment during the application or recruiting process due to a disability, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.