Senior Director, Ml/ai - Search And Recommendations

Expedia

Seattle, US
Seattle: base: $296,000.00 - $414,500.00; san jose...
Hybrid
Machine learning
AI
Search ranking algorithms
This role leads the centralized science portfolio that defines how millions of travelers discover the world by creating the algorithms that power the core marketplace dynamics across Vrbo, Hotels.com, and Expedia

Job Summary

  • This role leads the centralized science portfolio that defines how millions of travelers discover the world by creating the algorithms that power the core marketplace dynamics across Vrbo, Hotels.com, and Expedia.
  • You will lead the teams responsible for the core ranking algorithms and retrieval systems that serve as the primary interface between traveler intent and our global supply.
  • 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

This role leads the centralized science portfolio that defines how millions of travelers discover the world by creating the algorithms that power the core marketplace dynamics across Vrbo, Hotels.com, and Expedia.

Salary

Seattle: Base: $296,000.00 - $414,500.00; San Jose: Base: $323,000.00 - $452,500.00; Benefits: Full benefits package

Skills & Requirements

Must-have

  • Machine Learning
  • AI
  • Search ranking algorithms
  • Recommendation systems
  • Large-scale ML systems
  • High-velocity product deployment

Nice-to-have

  • Two-sided marketplace experience
  • Migrating legacy search stacks
  • Recognized industry leader
  • Attracting top talent
  • Designing effective org structures

Key Requirements

  • PhD or Master’s in Computer Science, Machine Learning, Statistics, or related field
  • 15+ years of experience in Data Science and Machine Learning
  • 8+ years of experience managing high-performing science teams and managers
  • Deep technical authority in Search and Ranking
  • Proven experience designing and deploying large-scale Ranking Foundation Models
  • Expertise in Model Distillation
  • Architectural Leadership experience
  • Strong business acumen and ability to influence executive stakeholders

Work Rights

Not specified

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