✦ Luna Orbit — AI & Machine Learning

Senior Machine Learning Scientist, Payments

at Expedia Group

📍 2 Locations Unknown 💰 $173K – $242K USD / year Posted March 27, 2026
Salary $173K – $242K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves leading the development and deployment of machine learning models in a high-volume domain, focusing on scalable, safe, and fair ML solutions.

  • Lead ML for Payments
  • Support production ML models
  • Collaborate with product teams
  • Implement monitoring and safety measures
  • Drive scalable ML solutions

The candidate will work with ML frameworks, Python, and deployment tools to build, monitor, and improve ML models in a production environment.

The ideal candidate is a senior AI/ML engineer with extensive experience in deploying and monitoring machine learning models in high-volume, scalable environments. They possess strong leadership skills and a solid understanding of ML safety and fairness.

Machine LearningMLPythonmodel deploymentmodel monitoringmodel versioning
anomaly detectionmultiarmed banditsML frameworksML Opsscaling ML models
Expedia Group platformML toolsdata exploration tools
Machine LearningMLPythonmodel deploymentmodel monitoringanomaly detectionmultiarmed banditsscalable solutionsproduction MLML safety
Machine LearningMLbinary classificationanomaly detectionmultiarmed banditsmodel deploymentmodel monitoringmodel versioningmodel reproducibilityPythonML frameworks
leadershipmentoringcollaborationproblem-solvingcommunication
Industry Technology
Job Function Leading machine learning initiatives in a high-volume payments domain
Role Subtype AI Engineer
Tech Domains Python, ML frameworks
machine learningMLbinary classificationanomaly detectionmultiarmed banditsmodel deploymentmodel monitoringmodel versioningmodel reproducibilityPythonML frameworksML Opshigh-volume domainscalable solutionsproduction MLML roadmapML safetyML fairness

Lack of experience in production ML, No experience with scalable ML deployment, No leadership or mentoring experience

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