Machine Learning Engineer II - Advertising Technology

Expedia Group • Seattle, WA

2d • $119,000 - $166,500

About The Position

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Machine Learning Engineer II: About the team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey
• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent (IATAN) membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level