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Machine Learning Scientist III - Whole Trip AI

Remote Posted Jul 22, 2026 0 views

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Job description

Expedia GroupJobs
Machine Learning Scientist III - Whole Trip AI

Machine Learning Scientist III - Whole Trip AI

Posted Yesterday
Be an Early Applicant
3 Locations
Hybrid
138K-239K Annually
Junior
AdTech • eCommerce • Information Technology • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Design build and deploy end-to-end ML solutions for ranking recommendations search and personalization. Develop scalable data pipelines monitoring and evaluation frameworks; run A/B tests and collaborate with product engineering and analytics to drive data-driven decisions and reliable production models.
Summary Generated by Built In

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. 

The Machine Learning Scientist II will own complex projects within our team’s scope. You will utilize a variety of techniques to solve challenging business problems and act as a full-stack contributor to delivering AI solutions. You will work with a dynamic group of product managers engineers and scientists to achieve Expedia’s business goals.   

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 $137500.00 to $192500.00. Employees in this role have the potential to increase their pay up to $220000.00 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 $137500.00 to $192500.00. Employees in this role have the potential to increase their pay up to $220000.00 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 San Jose is $149000.00 to $208500.00. Employees in this role have the potential to increase their pay up to $238500.00 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.expediagroup.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.

Skills Required

  • Bachelor's degree in Computer Science or a related technical field or equivalent 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
  • Ability to translate problem statements into well-defined ML tasks design appropriate model and data structures and own solutions within a product or feature area
  • Graduate degree in a quantitative field (Computer Science Statistics Machine Learning Operations Research) with focused coursework or research
  • Experience with modern ranking and recommendation modeling approaches in an applied production setting
  • Track record of optimizing ML systems in production including monitoring alerting retraining and model governance
  • Experience designing and improving ML architectures at scale including feature store design and API/data model choices for low-latency high-availability systems
  • Familiarity with natural language search techniques and agentic workflows

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle BenefitsTravel and wellness reimbursements employee travel discounts and flexible stipends are presented as standout perks that add meaningful lifestyle value. Mental-health resources and pet support broaden the package beyond core pay.
  • Parental & Family SupportPaid parental leave for all parents with additional time for birthing parents plus adoption surrogacy and caregiver support are highlighted as generous and accessible. Immediate eligibility for parental leave reinforces the family-friendly design.
  • Healthcare StrengthMedical dental and vision coverage is paired with inclusive healthcare extending to partners and covering fertility and transgender services. Access to mental-health platforms complements the core medical offering.

Expedia Group Insights

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The Company
HQ: Seattle WA
16000 Employees
Year Founded: 1996

What We Do

Expedia Group Inc. is the global travel marketplace with one purpose: to help travelers explore the world one journey at a time. Expedia Group™ connects travelers partners and advertisers through its trusted brands leading technology and rich first-party data delivering predictive personalized experiences that shape the future of travel.Expedia Group’s ecosystem includes three flagship consumer brands – Expedia® Hotels.com® and Vrbo® – the largest B2B travel business and a premier advertising network. Guided by an experienced and passionate global team Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds locations and disciplines. Day to day that means sharing ideas taking ownership and solving problems together.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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