Machine Learning Engineer II

About this role

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

About the Team: We are seeking a Machine Learning Engineer II to join our Advertising Technology team, where we build and operate large-scale batch and real-time ML systems that power pricing, inventory optimization, ranking, and trust & safety across the ad platform. This role sits at the intersection of machine learning, distributed systems, and MLOps, directly influencing how models are designed, deployed, and operated in production at scale.

You will work closely with Software Engineering, Data Science, Product, and Platform teams to translate modeling ideas into reliable, observable, and scalable ML systems, while setting technical direction, raising engineering standards, and mentoring others as the platform and business grow.   In this role, you will: • Build batch and real-time ML pipelines for ad delivery, ranking, bidding, and optimization

• Deploy and integrate ML models into low-latency ad delivery and campaign systems

• Develop and maintain data pipelines for large-scale impression, click, and conversion data

• Create reusable ML components, APIs, and workflows to support experimentation and iteration

• Ensure reliability, scalability, and performance through monitoring and continuous optimization

• Analyze data to improve models, features, and business outcomes

• Collaborate with product, engineering, and analytics teams to deliver marketplace impact

• Apply software engineering best practices and support responsible use of AI/ML

Minimum Qualifications • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience

• 2+ years of industry experience in machine learning engineering, including model development and production deployment

• Proficiency in Python or Java, with experience using ML frameworks and solid software engineering fundamentals

• Proven ability to own and deliver ML components or services within cross-functional teams

• Familiarity with real-time or near–real-time ML systems and production operations

Preferred Qualifications • Experience operating production ML systems at scale, including monitoring, troubleshooting, and iterative improvement

• Familiarity with distributed data processing (Spark, Databricks) and cloud platforms (AWS preferred)

• Exposure to MLOps practices, such as model deployment, monitoring, retraining, and CI/CD for ML

• Experience building or experimenting with ranking, prediction, classification, recommendation, or NLP models

• Experience designing APIs, data pipelines, and data models for ML-powered applications

• Interest or background in advertising, marketplaces, e-commerce, or travel platforms

• Awareness of responsible and secure AI/ML practices in production environments

Please note that  this role is only available in San Jose, CA or Seattle, WA , in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role. 

The total cash range for this position in San Jose is $129,000.00 to $180,500.00. Employees in this role have the potential to increase their pay up to $206,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life .

Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .

About Expedia Group Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ .

Equal

Similar jobs

• Machine Learning Engineer II — Clear · New York, NY, United States
• Machine Learning Engineer II — Milwaukee Tool · Brookfield, WI
• Machine Learning Engineer II — Niagara Bottling · Corp-Main - Diamond Bar, CA
• Machine Learning Engineer II — Spgi · New York, NY | Cambridge, MA
• Machine Learning Engineer II — Abnormalsecurity · Remote
• Machine Learning Engineer II — Ouryahoo · United States of America
• Machine Learning Engineer III — Workday · Pleasanton, CA | Santa Clara, CA | San Francisco, CA
• Machine Learning Engineer I — Warner Bros. Discovery · NY New York 30 Hudson Yards | DC Washington 820 1st Street NE