Machine Learning Engineer II

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.

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.

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 Search and Recommendations Machine Learning Engineering (MLE) team within the Multi‑Channel Shopping organization at Expedia Group is responsible for advancing Ranking, Recommendations, Text Search, and Traveler Insights across Expedia, , and Vrbo. This high‑impact team plays a critical role in shaping the user shopping experience across multiple brands. Operating in a fast‑paced environment, the team leverages cutting‑edge AI technologies and continuously evolves with emerging trends to optimize key business metrics, including click‑through rate, conversion rate, and gross profit.

This work directly aligns with Expedia Group’s strategic priorities and core principles—delivering exceptional traveler experiences and making travel more accessible and rewarding for people around the world.

We are seeking a dynamic and highly motivated Machine Learning Engineer III to help us meet our goals of leading the development of ML‑powered features that enhance the traveler experience across Expedia Group brands by working closely with cross‑functional teams to design and scale systems for Ranking, Recommendations, Pricing, and Search. This includes rapid prototyping of innovative ideas, contributing to all phases of the ML lifecycle, and integrating generative AI into production workflows.

Team members are expected to bring strong technical judgment to system design and actively shape the team's technical direction.

• System & Software Design
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  Design and develop moderately complex, testable, and observable systems; contribute to architectural discussions, especially for big data and ML applications.
• API & Service Development
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  Build APIs and services for use across business units, ensuring reusability and scalability.
• Business Impact Alignment
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  Understand how technical work supports business goals; identify and solve project‑level business problems with minimal guidance.
• Cross‑Functional Collaboration
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  Coordinate with stakeholders across engineering, product, and data to align priorities and deliver shared solutions.
• Innovation & Optimization
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  Identify inefficiencies in code and systems; propose improvements and innovations in ML engineering, platforms, and tooling.
• Operational Excellence
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  Ensure performance, scalability, and reliability of systems through monitoring, testing, and adherence to SLAs.
• Mentorship & Code Quality
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  Lead code reviews, mentor peers, and contribute to a culture of engineering excellence and best practices.
• Technical Communication
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  Document and present findings (e.g., RCAs or tech deep dives) clearly to both technical and non‑technical audiences.
• Strategic Thinking
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  Apply systems thinking to identify process or policy improvements that scale beyond immediate teams or projects.
• Community Engagement
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  Participate in communities of practice, promote shared learning, and foster a culture of knowledge exchange.

• Bachelor’s or Master’s degree…