Senior Machine Learning Scientist

Position Overview

Expedia Group is driving innovation in global travel. As a Senior Machine Learning Scientist, you will join a newly formed Machine Learning Science team within the Traveler Engagement & Loyalty unit. In this role, you will develop personalized recommendation models and intelligent CRM strategies that impact millions of travelers worldwide. You will combine cutting-edge machine learning research with real-world applications to transform customer relationship management.

Key Responsibilities

• Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
• Apply deep learning and causal inference to analyze 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 in production environments
• Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
• Stay updated with advancements in deep learning and personalization research
• Mentor junior scientists and engineers by sharing best practices in ML modeling, experimentation, and deployment

Required Qualifications

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience
• 8+ years of related industry experience
• Experience building production-grade recommendation or personalization systems
• Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
• 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
• Excellent communication skills for both technical and non-technical audiences

Preferred Qualifications

• Experience in the travel or e-commerce industry
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Publications in top-tier ML conferences or journals
• Contributions to open-source ML projects
• Experience in personalization systems or CRM-focused ML applications
• Experience taking models from prototype to production in collaboration with ML Engineering teams

Benefits & Perks

• Compensation: Total cash range in San Jose is $187,000.00 to $261,500.00 with potential increase up to $299,000.00 based on performance. Starting pay varies based on location, budget, and individual qualifications.
• Full benefits package including medical/dental/vision, paid time off, and parental leave
• Flexible work model with cool office environments and robust career development resources
• Exciting travel perks including wellness & travel reimbursement, travel discounts, and International Airlines Travel Agent (IATAN) membership
• Employee Assistance Program to support overall well-being