Machine Learning Engineer III

Expedia Group

5d

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 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.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

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
• 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
• Number of Employees: 5,001-10,000 employees