Machine Learning Engineer – Senior

Expedia Group

. Design and implement scalable batch and real-time ML pipelines for advertising delivery and optimization .

Posted 9/30/2026full-timeUnited StatesMid-LevelSenior💰 $157,500 - $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 processing tools, and MLOps concepts.

Highest-signal resume keywords

Machine Learning Pipeline DevelopmentPython ProficiencyExperience with PyTorch or TensorFlowData Pipeline Management with Spark or SQLMLOps Concepts Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Pipeline DevelopmentModel EvaluationFeature EngineeringSupervised LearningReal-Time DecisioningAPI DevelopmentMonitoring and OptimizationVersion ControlSystem Design

Soft Skills

Effective CollaborationClear Communication

Tools & Technologies

PyTorchTensorFlowSparkSQLDatabricksAWS

Industry Keywords

AdvertisingE-CommerceMarketplacesData-Driven SystemsNLP Models

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design and implement scalable batch and real-time ML pipelines for advertising delivery and optimization
Operationalize ML models and integrate them 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 to align ML solutions with marketplace and revenue goals
Enable low-latency inference and real-time decisioning for advertising systems serving millions of users
Develop reusable components, APIs, and orchestration workflows for experimentation, deployment, and iteration
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
4+ 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 contributing to production ML systems, including model training, evaluation, or inference pipelines preferred
Familiarity with distributed data processing, Databricks, and cloud environments such as AWS preferred
Exposure to 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
Must be based in San Jose, California or Seattle, Washington
Expedia Group participates in E-Verify

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