Senior ML Engineer Jobs in Seattle, WA
Senior ML Engineer jobs in Seattle are concentrated in South Lake Union, Bellevue, and the Eastside corridor, where demand from cloud computing, e-commerce, and biotech companies stays consistently strong. Employers hiring right now include Apple, TikTok, and Amazon. Scan the live roles below and apply to whichever ones fit.
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At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team
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 Whole Trip AI team at Expedia Group enables unforgettable travel experiences. The team’s responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, we’re responsible for optimizing our interactions with travelers across this domain, including cache optimization, price forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI-based solutions. We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions.
In this role, you will:
- Design and implement end-to-end model pipelines to production across multiple product domains, including ranking, recommendations, search, and personalization
- Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure reliability, performance, and responsible behavior of ML systems in production
- Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision making with data-driven insights
- Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement
Minimum Qualifications:
- Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
- 2+ years of relevant professional experience
- Professional industry experience applying machine learning or statistical modeling to real business problems, including end-to-end model development from data exploration through evaluation and deployment
- Proficiency in Python and with ML frameworks and libraries for model development, training, and evaluation
- Demonstrated ability to translate problem statements into well-defined ML tasks, design appropriate model and data structures (including APIs and data models), and own solutions within a defined product, service, or feature area, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products with attention to safety and reliability
Preferred Qualifications:
- Graduate degree in a quantitative field (such as Computer Science, Statistics, Machine Learning, Operations Research, or similar) with focused coursework or research in ML, optimization, or statistical modeling
- Experience with modern ranking & recommendation modeling approaches in an applied, production setting
- Track record of optimizing ML systems in production, including monitoring, alerting, retraining, and model governance to ensure performance, robustness, and fairness
- Experience designing and improving ML architectures at scale, including model selection, feature store design, and API/data model choices that support low-latency, high-availability production systems
- Familiarity with natural language search techniques and agentic workflows
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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 $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
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.
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Find Senior ML Engineer JobsSenior ML Engineer Job Market in Seattle
Who's Hiring
- Apple36

- TikTok23

- Amazon21

- TikTok USDS JV19
- Amazon Web Services15

Top Industries Hiring
- Technology & Software109
- Retail30
- Electronics & Hardware30
- E-Commerce & Online Marketplaces26
- Distribution & Wholesale15
Senior ML Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a senior ml engineer job in Seattle?
Focus on Seattle's dominant hiring sectors: cloud infrastructure, e-commerce platforms, and health tech. Roles concentrate in South Lake Union, the Eastside, and the Bellevue tech corridor. Candidates who demonstrate experience with large-scale distributed systems or production model deployment stand out in this market. Contributing to open-source ML projects and engaging with Seattle's active AI meetup community also gives applicants a concrete local edge.
Which companies hire senior ml engineers in Seattle?
Seattle senior ml engineer roles are posted by Apple, TikTok, and Amazon and others right now, based on current listings on Migrate Mate as of June 2026. The Seattle market includes a mix of global technology giants headquartered locally, high-growth startups in South Lake Union, and enterprise employers in the Eastside who rely on ML to power recommendation, logistics, and clinical decision systems.
Are there remote senior ml engineer jobs in Seattle?
Yes, though many roles require at least some on-site collaboration given the team-embedded nature of senior ML work. About 39% of senior ml engineer openings tied to Seattle are remote or hybrid as of June 2026, with fully remote positions most common for modeling and research tracks rather than platform or MLOps roles that involve close integration with engineering teams.
How can I get a senior ml engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through an ML engineer or data scientist role at a mid-size tech company, then building toward senior scope from within. Seattle employers in e-commerce, health informatics, and cloud services regularly hire early-career engineers for applied ML roles. University of Washington's programs feed local pipelines directly, and contract-to-hire arrangements at Eastside employers are a common on-ramp to permanent senior positions.
Which industries hire the most senior ml engineers in Seattle?
Seattle senior ml engineer roles concentrate in Technology & Software, Retail, and Electronics & Hardware, based on current listings on Migrate Mate as of June 2026. Seattle's position as a global hub for cloud computing and e-commerce means those sectors alone account for a large share of local ML hiring, with health technology adding significant volume as major medical systems and biotech firms expand their applied AI teams.
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