Senior Software Development Engineer - ML Platform

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.

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.

The Senior Software Development Engineer - ML Platform role is a part of the ML Platform team. We build Expedia Group's ML Platform: the tools, components, processes and services that power the full machine learning lifecycle, from feature engineering and training to real-time inference, monitoring, and cost transparency. We lower the barrier to entry so any team, from ML scientists to non-coders, can ship models safely, fast, and at scale.

In this role, you will:

• Design, build, and evolve scalable machine learning platform capabilities, including system design, API design, and data modeling, to enable reliable feature engineering, feature discoverability, model inference, and operation across multiple technical domains.
• Deliver high-quality software using sound engineering practices, translating complex platform requirements into well-structured low-level designs and maintainable implementations.
• Improve platform reliability, performance, and operational health by identifying root causes, resolving technical issues, and driving resilient, secure, and observable solutions in production environments.
• Partner with engineers and adjacent stakeholders to define technical approaches, influence platform direction, and support adoption of shared ML infrastructure, tools, and services.
• Apply strong technical judgment across services or domain-level platform components, balancing near-term delivery with long-term scalability, maintainability, and developer experience.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including 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
• Demonstrated ownership of complex services or multi-service components within a technical domain, with accountability for design, delivery, and operational excellence.
• Strong proficiency in software engineering fundamentals, including system design, low-level design, coding, testing, debugging, and performance optimization.
• Experience working with machine learning platforms, data-intensive systems, or infrastructure that supports model development, deployment, or lifecycle management.

Preferred Qualifications:

• Experience designing and scaling ML platform capabilities that support broad engineering use cases across a domain or organization.
• Demonstrated ability to leverage AI-assisted development tools and agentic workflows to accelerate delivery, with experience evaluating tradeoffs, managing reliability, and establishing best practices for AI tool adoption across a team.
• Demonstrated strength in architecture leadership, including making pragmatic design decisions, improving platform extensibility, and driving technical standards.
• Track record of improving reliability, observability, and efficiency for production systems through automation, instrumentation, and data-driven operational improvements.
• Experience working with AI/ML-enabled products or platforms, including an ability to safely integrate and operate AI/ML-enabled solutions that improve outcomes.
• Deeper exposure to AI/ML workflows such as model training, inference, feature pipelines, or evaluation frameworks, and applying that knowledge to platform engineering decisions.

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.

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, 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.