San jose: $187,000.00 - $261,500.00; seattle: $173...
Production-grade recommendation systems
Deep learning for recommendations
Reinforcement learning
Expedia Technology teams partner with Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and employees
Job Summary
Expedia Technology teams partner with Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and employees.
The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems, dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships.
Expedia Group offers a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources.
Matching Summary
Expedia Technology teams partner with Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and employees.
Salary
San Jose: $187,000.00 - $261,500.00; Seattle: $173,000.00 - $242,500.00; Benefits: Full benefits package including wellness & travel reimbursement, travel discounts, and IATAN membership
Skills & Requirements
Must-have
production-grade recommendation systems
deep learning for recommendations
reinforcement learning
causal inference
Python and ML frameworks
distributed systems like Apache Spark
A/B testing and experimentation
Nice-to-have
travel or e-commerce industry experience
cloud platforms (AWS, GCP, Azure)
publications in top-tier ML conferences
contributions to open-source ML projects
personalization systems or CRM-focused ML
collaboration with ML Engineering teams
Key Requirements
PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or related field; or equivalent professional experience
8+ years of related industry experience
Experience building production-grade recommendation or personalization systems
Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
Experience with distributed systems like Apache Spark
Familiarity with A/B testing and experimentation methodologies