✦ Luna Orbit — AI & Machine Learning

Sr. Machine Learning Engineer - Advertising Technology

at Expedia Group

📍 2 Locations Unknown 💰 $184K – $258K USD / year Posted March 13, 2026
Salary $184K – $258K USD / year
Type Not Specified
Experience senior
Exp. Years 8+ years
Education Not specified
Category AI & Machine Learning

This role involves designing and building large-scale machine learning systems for advertising, focusing on pricing, inventory, ranking, and safety, while leading technical initiatives and mentoring teams.

  • Design ML systems
  • Deploy models
  • Lead cross-team initiatives
  • Establish best practices
  • Mentor engineers

The environment includes large-scale batch and real-time ML systems, distributed architectures, MLOps practices, and scalable deployment pipelines, requiring expertise in software engineering, data science, and ML frameworks.

The ideal candidate is a senior machine learning engineer with over 8 years of experience in designing and deploying large-scale ML systems, with expertise in distributed systems, MLOps, and scalable architecture. They have a strong background in software engineering and data science, capable of leading cross-organizational initiatives.

8+ years experienceMachine LearningDistributed SystemsMLOpsModel DeploymentSoftware Engineering
Real-time ML systemsPricing optimizationInventory optimizationRanking systemsTrust & Safety
ML frameworksDistributed systems platformsMLOps tools
Machine LearningML SystemsDistributed SystemsMLOpsModel DeploymentSoftware EngineeringData ScienceScalabilityObservability
Machine LearningML SystemsDistributed SystemsMLOpsModel DeploymentModel DesignData ScienceSoftware EngineeringScalable System DesignObservability
CollaborationLeadershipMentoringTechnical DirectionCross-team Communication
Industry Technology
Job Function Developing and operationalizing large-scale ML systems for advertising
Machine LearningML SystemsDistributed SystemsMLOpsModel DeploymentModel DesignData ScienceSoftware EngineeringScalable System DesignObservabilityReal-time MLPricing OptimizationInventory OptimizationRanking SystemsTrust & Safety

Less than 8 years experience, Lack of experience with distributed systems or MLOps, No background in large-scale ML deployment, Failure to demonstrate leadership in technical projects

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