Machine Learning Engineer – III

Expedia Group

Machine learning engineer building batch and real-time advertising systems at Expedia Group. Deploying models, pipelines, and monitoring to optimize travel ads at scale.

Posted 8/29/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $146,000 - $220,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable machine learning pipelines, integrating models with ad delivery systems, and optimizing performance for real-time decision-making. Proficient in Python and familiar with ML frameworks, data pipelines, and MLOps concepts.

Highest-signal resume keywords

Machine Learning Pipeline DevelopmentPython ProficiencyExperience with Spark and SQLFamiliarity with PyTorch or TensorFlowProduction ML Systems Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Pipeline DevelopmentFeature EngineeringModel EvaluationSupervised LearningReal-Time DecisioningAPIs DevelopmentOrchestration WorkflowsMonitoring and AlertingContinuous Optimization

Soft Skills

Effective CollaborationClear Communication of Technical ConceptsMentoring

Tools & Technologies

SparkSQLPyTorchTensorFlowDatabricksAWSMLOps

Industry Keywords

Advertising DeliveryBidding SystemsCampaign ManagementE-commerceMarketplacesNLP ModelsRecommendation Systems

Tech Stack

Tools & technologies

AWSPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design and implement scalable batch and real-time ML pipelines for advertising delivery and optimization
Operationalize ML models developed by ML scientists
Integrate models with ad delivery, bidding, ranking, and campaign management systems
Build and maintain data pipelines for large-scale ad impressions, clicks, and conversion data
Partner with ads product, engineering, analytics, and business teams
Enable low-latency inference and real-time decisioning for systems serving millions of users
Develop reusable components, APIs, and orchestration workflows
Support experimentation, deployment, and rapid iteration in advertising systems
Ensure reliability, scalability, and performance through monitoring, alerting, and continuous optimization
Set technical direction, raise engineering standards, and mentor others

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field
3 years+ of industry experience working with machine learning or data-driven systems
Proficiency in Python
Familiarity with ML frameworks such as PyTorch or TensorFlow
Understanding of supervised learning, feature engineering, model evaluation, and basic bias/variance tradeoffs
Experience with data pipelines and large datasets using Spark, SQL, or similar
Familiarity with version control, testing, and basic system design
Ability to collaborate effectively and communicate technical concepts clearly
Experience with production ML systems, model training, evaluation, or inference pipelines preferred
Familiarity with Spark, Databricks, AWS, and MLOps concepts preferred
Experience with ranking, prediction, classification, recommendation, or NLP models preferred
Basic familiarity with real-time or near-real-time ML systems preferred
Background or interest in ads, marketplaces, e-commerce, or travel platforms preferred
Must work in the office at least three days a week
Role is available only in San Jose, California or Seattle, Washington
Expedia Group does not offer relocation assistance for this role

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
Flexible work model