Machine Learning Scientist III - Search and Personalization
Expedia Group · Austin, TX, US
2 hours agoImpress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Machine Learning Scientist III - Search and Personalization role.
Rezi rewrites your resume against Expedia Group's job description. Free.

Tailor your resume to this Machine Learning Scientist III - Search and Personalization role.
Rezi rewrites your resume against Expedia Group's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Scientist III - Search and Personalization posting at Expedia Group — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Machine Learning Scientist III - Search and Personalization posting at Expedia Group — free, in seconds.
About the Role
The Whole Trip AI team at Expedia Group enables unforgettable travel experiences. The Machine Learning Scientist II will own complex projects within our team’s scope, utilizing a variety of techniques to solve challenging business problems and acting 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.
Responsibilities
- 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
Requirements
- Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
- 5+ 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
Skills
- Python
- ML frameworks and libraries
- Modern ranking & recommendation modeling approaches
- Natural language search techniques
- Agentic workflows
Location
- Seattle
- Austin
- San Jose
Work Type
- Full-time
Experience Level
- 5+ years of relevant professional experience
Education Level
- Bachelor’s degree in Computer Science or a related technical field
- 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
Salary/Compensations
- Seattle: $137,500.00 - $192,500.00 (potential to $220,000.00)
- Austin: $137,500.00 - $192,500.00 (potential to $220,000.00)
- San Jose: $149,000.00 - $208,500.00 (potential to $238,500.00)
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Employee Assistance Program
- Wellness and travel reimbursement
- Travel discounts
- International Airlines Travel Agent Network (IATAN) membership
About the Company
- 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.
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.