Machine Learning Scientist III – Whole Trip AI

Expedia Group

Machine Learning Scientist III developing AI solutions for travel experiences at Expedia Group. Responsible for end-to-end model pipelines and collaboration with cross-functional teams.

Posted 7/22/2026full-timeSeattle • California, Texas, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $137,500 - $192,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and implementing end-to-end machine learning model pipelines, with a strong focus on data quality, model monitoring, and collaboration with cross-functional teams to drive data-driven decision making.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProficiencyData Pipeline DevelopmentA/B TestingStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingModel EvaluationData ExplorationModel DeploymentData Quality ChecksModel MonitoringAPI DesignData StructuresAI/ML Concepts

Soft Skills

CollaborationCommunicationInfluencing Decision Making

Tools & Technologies

ML FrameworksData PipelinesEvaluation Frameworks

Industry Keywords

End-to-End Model DevelopmentCross-Functional CollaborationProduct DomainsPersonalizationRecommendationsSearch

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
Employee Assistance Program
wellness and travel reimbursement
travel discounts
International Airlines Travel Agent Network (IATAN) membership