Senior ML Engineer: Real-Time Ads & Scalable ML

Traveltechessentialist; San Jose (CA); Hybrid; USD 157,000 - 220,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Travel discounts

Job summary

Expedia Group is seeking a Machine Learning Engineer II for its Advertising Technology team to design scalable ML pipelines and deploy models that power pricing, inventory optimization, and ranking across the ad platform.

You will work with software engineers, data scientists, and product teams to translate modeling ideas into reliable, observable ML systems at production scale, while mentoring 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 ML fundamentals, including supervised learning, feature engineering, model evaluation, and bias/variance tradeoffs.
• Experience with data pipelines and large datasets using 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 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 brands
• 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

ML fundamentals

Collaboration

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Tools

PyTorch

TensorFlow

Spark

SQL

Git

Job description

Expedia Group is seeking a Machine Learning Engineer II for its Advertising Technology team to design scalable ML pipelines and deploy models that power pricing, inventory optimization, and ranking across the ad platform.

You will work with software engineers, data scientists, and product teams to translate modeling ideas into reliable, observable ML systems at production scale, while mentoring others as the platform grows.