✦ Luna Orbit — AI & Machine Learning

Machine Learning Engineer III

at Expedia Group

📍 Washington - Seattle Campus Hybrid 💰 $146K – $204K USD / year Posted March 25, 2026
Salary $146K – $204K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

This role involves developing and maintaining machine learning pipelines, applying data engineering principles, and working with big data applications to improve travel-related systems at Expedia.

  • Develop and test ML applications
  • Apply data manipulation techniques
  • Mentor junior engineers
  • Improve data systems
  • Lead complex projects

The technical environment includes Python, big data tools, ML platforms, and data science models. The role focuses on end-to-end ML pipeline development, data manipulation, and system optimization.

The ideal candidate is a mid-level machine learning engineer with 3+ years of experience in end-to-end ML pipelines, data engineering, and big data applications. They possess strong coding skills in Python and are capable of mentoring junior engineers.

3+ years of experience in machine learning engineering pipeline end-to-endProficiency in data manipulation techniquesExperience with big data applicationsMentoring junior engineersApplying data engineering principles
Experience with ML platformsKnowledge of enterprise information managementBusiness intelligenceData science models
PythonBig Data toolsML Platforms
Machine LearningML pipelinesData EngineeringData StructuresDesign PatternsBig DataPythonData ScienceModel DeploymentData ManipulationSoftware DevelopmentData Science ModelsData ScienceData Science ModelsML PlatformsEnterprise Information Management
Machine LearningML pipelinesData EngineeringData StructuresDesign PatternsSoftware DevelopmentData ManipulationBig DataPythonModel DevelopmentModel TestingModel DeploymentData Science
Team CollaborationProblem SolvingCommunicationCross-functional CoordinationHolistic Thinking
Industry Technology
Job Function Design and implement machine learning pipelines and data systems for travel technology.
Role Subtype Machine Learning Engineer
Tech Domains Python, Big Data
Machine Learning EngineerML pipelinesData EngineeringData StructuresDesign PatternsBig DataPythonData ScienceModel DeploymentData ManipulationSoftware DevelopmentData Science ModelsML PlatformsEnterprise Information Managementmachine learningdata engineeringbig datapythondata manipulationmodel deploymentdata sciencesoftware developmentmentoring

Less than 3 years of experience in ML engineering, Lack of experience with data manipulation techniques, No experience with big data applications, No mentoring experience

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