Senior ML Engineer - Real-Time Ad Systems

Expedia, Inc.; Seattle (WA); On-site; USD 146,000 - 205,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Employee Assistance Program

Wellness and travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Machine Learning Engineer II to join the Advertising Technology team, building and operating large-scale batch and real-time ML systems for pricing, ranking, and trust & safety across the ad platform.

You will collaborate with Software Engineering, Data Science, Product, and Platform teams to translate modeling ideas into reliable, observable ML systems, and mentor others as the platform grows.

Qualifications

• 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 and familiarity with ML frameworks such as PyTorch or TensorFlow
• Solid understanding of machine learning fundamentals, including supervised learning, feature engineering, model evaluation, and basic bias/variance tradeoffs
• Experience working with data pipelines and large datasets, using tools such as Spark, SQL, or similar
• Familiarity with software engineering fundamentals, including version control, testing, and basic system design
• Ability to collaborate effectively and communicate technical concepts clearly

Responsibilities

• ML Infrastructure & Pipelines: Design and implement scalable batch and real-time ML pipelines to support advertising delivery and optimization across channels
• Model Deployment & Integration: Operationalize ML models developed by ML scientists, integrating them with ad delivery, bidding, ranking, and campaign management systems
• Data Engineering: Build and maintain reliable data pipelines to ingest, process, and transform large-scale ad impressions, clicks, and conversion data
• Cross-Functional Collaboration: Partner closely with ads product, engineering, analytics, and business teams to align ML solutions with marketplace and revenue goals
• Advertising at Scale: Enable low-latency inference and real-time decisioning for advertising systems serving millions of users across multiple brands and surfaces
• Tooling & Automation: Develop reusable components, APIs, and orchestration workflows to support experimentation, deployment, and rapid iteration in ad systems
• Monitoring & Optimization: Ensure reliability, scalability, and performance of ML-powered ad systems through robust monitoring, alerting, and continuous optimization

Skills

Python

PyTorch

TensorFlow

ML pipelines

Distributed systems

SQL

Spark

Cloud AWS

Education

Bachelor's or Master's degree in CS/Engineering/Data Science

Tools

Spark

SQL

Databricks

AWS

Airflow

Job description

Expedia Group is seeking a Machine Learning Engineer II to join the Advertising Technology team, building and operating large-scale batch and real-time ML systems for pricing, ranking, and trust & safety across the ad platform.

You will collaborate with Software Engineering, Data Science, Product, and Platform teams to translate modeling ideas into reliable, observable ML systems, and mentor others as the platform grows.