Senior Machine Learning Scientist - Traveler Engagement & Loyalty team (San Jose)
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.
The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedias AI-first vision.
In this role, you will :
- Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
- Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
- Design and analyze A / B experiments to validate model performance and drive product decisions
- Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
- Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
- Stay current with advancements in recommendation research, deep learning architectures, and personalization systems
- Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment
Minimum Qualifications :
PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience8+ years of related industry experienceExperience building production-grade recommendation or personalization systemsStrong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inferenceProficiency in Python and ML frameworks such as TensorFlow or PyTorchExperience with distributed systems like Apache SparkFamiliarity with A / B testing and experimentation methodologiesAbility to work with large-scale, real-world data with attention to bias, fairness, and privacyExcellent communication skills for both technical and non-technical audiencesPreferred Qualifications :
Experience in the travel or e-commerce industryFamiliarity with cloud platforms (AWS, GCP, Azure)Publications in top-tier ML conferences or journalsContributions to open-source ML projectsExperience in personalization systems or CRM-focused ML applicationsExperience taking models from prototype to production in collaboration with Machine Learning Engineering teams