Senior Machine Learning Scientist

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 Machine Learning Engineer :

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.

The Fraud & Risk team plays a pivotal role in safeguarding the company’s finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security—we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia’s sustained revenue growth possible.

In this role, you will :

Lead ML Solution Development : Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals.

Drive End-to-End ML Projects : Manage the full ML lifecycle—from data exploration and feature engineering to model evaluation, productionization, and monitoring.

Collaborate Across Functions : Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant.

Mentor and Grow Talent : Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence.

Advance ML Capabilities : Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness.

Build and Maintain Infrastructure : Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows.

Develop Internal Platforms and Best Practices : Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies.

Communicate with Impact : Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences.

Manage Stakeholders and Projects : Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions.

Solve Strategically and Creatively : Frame business problems as data science tasks, prioritize high-leverage work (80 / 20), and persist through technical and organizational challenges.

Experience and Qualifications

Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience

5+ years of experience building and deploying machine learning models in production environments.

Experience applying sequential models (e.g., RNNs, Transformers) and / or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations.

ML Programming Expertise : Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others.

Software Engineering Skills : Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code.

Machine Learning Knowledge : Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning.

Advanced Statistical Methods : Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations.

Applied Research : Conducts applied research and integrates findings from academic publications into practical solutions.

Model Evaluation Innovation : Designs and implements custom evaluation techniques for tailored ML solutions.

Domain and Business Acumen : Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives.

Visualization and Front-End Familiarity : Skilled in data visualization, UX / UI principles, and basic web technologies (HTML / CSS / JavaScript).

Mentorship and Leadership : Provides technical mentorship and guides peers in frameworks and methodologies.

Knowledge Sharing : Actively contributes to team learning through events, tools, and educational content.

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.

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.

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.

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