Machine Learning Scientist III – Whole Trip AI

Expedia Group

Machine learning scientist building production ranking, recommendation, search, and personalization systems for Expedia Group’s global travel platform. Developing reliable AI solutions across flights, cars, packages, and activities.

Posted 8/5/2026full-timeSeattle • California, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $137,500 - $208,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in end-to-end model development and deployment, with a strong focus on machine learning frameworks and data pipeline management. Proven ability to translate business needs into actionable ML projects while ensuring model reliability and performance.

Highest-signal resume keywords

End-To-End Model DevelopmentProficiency In PythonMachine Learning FrameworksData Pipeline ManagementModel Monitoring And Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData ExplorationModel EvaluationModel DeploymentData Quality ChecksA/B TestingModel Impact MeasurementAPI DesignData Model Design

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

ML FrameworksAI-Driven SystemsEvaluation Frameworks

Industry Keywords

RankingRecommendationsPersonalizationData PipelinesModel GovernanceNatural Language SearchAgentic Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and implement end-to-end model pipelines to production across ranking, recommendations, search, and personalization domains
Develop and maintain scalable data pipelines, data quality checks, and model monitoring for reliable, performant, and responsible ML systems
Collaborate with product, analytics, and engineering partners 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
Own complex projects and contribute full-stack to AI solution delivery

Requirements

What you’ll need

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
End-to-end model development experience from data exploration through evaluation and deployment
Proficiency in Python
Proficiency with ML frameworks and libraries for model development, training, and evaluation
Ability to translate problem statements into well-defined ML tasks
Ability to design appropriate model and data structures, including APIs and data models
Experience owning solutions within a defined product, service, or feature area
Familiarity with AI-driven systems, tools, or workflows
Ability to apply AI/ML concepts to real-world products with attention to safety and reliability
Preferred: Graduate degree in a quantitative field with focused coursework or research in ML, optimization, or statistical modeling
Preferred: Experience with modern ranking and recommendation modeling approaches in an applied production setting
Preferred: Track record optimizing ML systems in production, including monitoring, alerting, retraining, and model governance
Preferred: Experience designing and improving ML architectures at scale, including model selection, feature store design, and API/data model choices
Preferred: Familiarity with natural language search techniques and agentic workflows

Benefits

Comp & perks

Medical, dental, and vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership
Inclusive and accessible recruiting experience
Accommodation or adjustment support during the application or recruiting process