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 III

Introduction to 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 III to join our Universal Messaging Platform team. This role will focus on growing our CRM Personalization initiatives to transform how we engage travelers through marketing channels like email, push, SMS, and WhatsApp. This role will be instrumental in building scalable ML pipelines and infrastructure that power personalized marketing communications, leveraging engagement signals. You’ll work closely with ML Scientists, CRM product teams, and marketing stakeholders to develop and deploy models that go beyond site behavior—enabling smarter segmentation, content recommendations, and campaign optimization.

In this role, you will

ML Infrastructure & Pipelines: Design and implement robust, scalable ML pipelines for batch and real-time personalization across CRM channels
Model Deployment: Operationalize ML models built by ML scientists, ensuring seamless integration with marketing platforms and campaign orchestration tools
Data Engineering: Build and maintain data pipelines that ingest and transform marketing engagement data
Cross-Functional Collaboration: Partner with CRM, marketing, and analytics teams to align technical solutions with business goals
Personalization at Scale: Enable real-time inference and personalization for millions of travelers across multiple brands and communication channels
Tooling & Automation: Develop reusable components, APIs, and orchestration workflows to support experimentation and deployment
Monitoring & Optimization: Ensure reliability, scalability, and performance of ML systems; implement monitoring and alerting for production workflows
Mentorship & Best Practices: Contribute to code reviews, mentor junior engineers, and promote engineering excellence across the team

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of experience in ML engineering or software engineering with ML systems
Strong programming skills in Python
Experience with ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and model serving patterns
Proficiency in big data technologies (e.g., Spark, Hive, Databricks) and cloud platforms (e.g., AWS)
Experience working with containerization, deployment, and orchestration technologies (Docker, Kubernetes, Flyte/Airflow, CI/CD pipelines, etc.)
Understanding of ML lifecycle and experience deploying models in production
Strong understanding of personalization, experimentation, and customer-centric design models

Preferred Qualifications

Hands-on experience with Java or Scala
Familiarity with marketing data and CRM systems

The total cash range for this position in San Jose is $149,000.00 to $208,500.00. Employees in this role have the potential to increase their pay up to $238,500.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Machine Learning Engineer III

Job Type