Senior Machine Learning engineer - Distribution & Supply

Senior Machine Learning Engineer

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.

Our Technology Team partners with teams across Expedia Group 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.

This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group's global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. In this role, you will apply advanced machine learning engineering to design, deploy, and scale robust models that directly improve the quality and performance of our distribution platform for both travelers and partners.

In this role, you will:

• Design, build, and evolve robust, scalable machine learning systems and services, including system design (LLD), API design, and data modeling to power complex product capabilities across multiple domains.
• Own end-to-end delivery of machine learning features and platforms, from problem framing, data sourcing, feature engineering, and model development and evaluation through implementation, testing, deployment, monitoring, and ongoing operational support.
• Collaborate with product, data, and engineering teams to translate ambiguous business and customer problems into clear ML-driven solutions, selecting appropriate modeling approaches and integrating them into production services and applications.
• Improve model and system quality, reliability, and performance by driving best practices in experimentation, validation, observability, security, and operational excellence for the ML services you own.
• Mentor and support other engineers and data practitioners through technical design discussions, review of modeling and code work, and knowledge sharing, helping to elevate ML engineering practices across teams and domains.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, with familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Minimum Qualifications:

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 8+ years of relevant professional experience.
• Strong proficiency in at least one modern programming language commonly used at Expedia Group for ML (such as Python or Java), with deep understanding of core software engineering concepts, system design (LLD), API design, data modeling, and ML fundamentals including model training, evaluation, and deployment.
• Proven experience working with service-oriented or microservice architectures to integrate ML capabilities into production systems, including building and consuming APIs, working with large-scale data pipelines, and ensuring reliability, scalability, and security of ML-backed services.
• Hands-on experience operating ML workflows in production environments, including monitoring model and data health, responding to incidents, and improving systems based on experimental results and operational feedback.

Preferred Qualifications:

• Experience architecting and evolving complex, distributed ML platforms or systems that support high-volume, low-latency prediction workloads or large-scale batch inference, including clear, well-versioned API contracts and resilient data models.
• Demonstrated ability to lead technical design for ML-driven features or services, make sound tradeoffs between modeling complexity, performance, and operational cost, and align solutions with broader domain or organizational standards.
• Track record of driving operational excellence for ML systems, such as improving observability of models and data, reducing manual toil through automation (for example, CI/CD for models, feature stores, or model registry workflows), and enhancing performance, resilience, or cost efficiency.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
• Hands-on experience with advanced AI/ML tooling and infrastructure appropriate to this level (for example, distributed training frameworks, modern ML platforms, or inference optimization techniques) and using these to deliver robust, scalable, and trustworthy ML solutions across multiple product or domain areas.

The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, 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.

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

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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, veteran status, or any other characteristic protected by law. 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.