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Senior Manager, Machine Learning Science

Expedia

Expedia

Software Engineering
Seattle, WA, USA
USD 173k-242,500 / year
Posted on Sep 12, 2025
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Senior Manager, Machine Learning Science

  • United States - Washington - Seattle

  • Technology

  • Full-Time Regular

  • 09/11/2025

  • ID # R-97995

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Senior Manager, Machine Learning Science

Introduction to Team:

Expedia 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’re hiring a Senior Manager, Machine Learning Science to lead our Travel Search & Discovery team. In this role, you’ll drive the development and optimization of Expedia’s AI models, powering natural language search, multi-modal search, and generative AI-based discovery experiences.

We’re looking for a deep learning expert with both hands-on technical expertise and proven leadership experience in building high-impact AI solutions. You’ll guide a team that designs and deploys cutting-edge models, setting the standard for innovation in search and discovery. Your leadership will directly shape the technology that helps millions of travelers and partners explore, plan, and experience the world every year.

What you will do:

  • Lead and mentor a team of Machine Learning scientists to develop state-of-the-art search and discovery algorithms, enhancing the relevance and personalization of our travel offerings

  • Oversee the research, design, and implementation of scalable machine learning models that improve user engagement and satisfaction, while aligning with business objectives

  • Collaborate with cross-functional teams, including product management, engineering, and UX design, to integrate machine learning solutions seamlessly into the overall user experience

  • Analyze large datasets to extract actionable insights, utilizing advanced statistical and machine learning techniques to inform business strategies and feature development

  • Stay updated with the latest advancements in machine learning and AI, especially in the field of Search & Discovery, incorporating relevant innovations to maintain the company's competitive edge in the industry

  • Evaluate and ensure the quality, performance, and fairness of models in production, implementing best practices in model development and deployment

  • Communicate sophisticated concepts and the results of the analyses in a clear and effective manner

  • Collaborate with other machine learning scientists, data scientists, and machine learning engineers to formulate innovative solutions to experiment and implement sophisticated modeling techniques

Minimum Qualifications:

  • Bachelor's or Master's degree in computer science, computer engineering or equivalent work experience

  • 8+ years of proven work experience in the field of Software Engineering; and experience in applying machine learning techniques to real-world problems

  • 2+ years management experience; with the ability to inspire and guide a team toward achieving ambitious goals in a fast-paced environment

  • Deep expertise in machine learning, data mining, and information retrieval

  • Hands-on experience in deploying models in production at scale

  • Strong programming skills in Python

  • Proficiency in frameworks like TensorFlow and PyTorch

Preferred Qualifications:

  • Excellent problem-solving abilities and a keen analytical mindset, capable of navigating complex datasets and deriving meaningful insights

  • Strong communicator, capable of articulating complex concepts to both technical and non-technical audiences, and fostering collaboration across diverse teams

  • Passionate about travel and dedicated to transforming the online travel shopping experience through innovative machine learning solutions

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 Austin is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

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™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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 with 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 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.