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Distinguished Engineer, AI Search

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Expedia, Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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.

Expedia Product & Technology builds 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 for the traveler and our partners that drive loyalty and customer satisfaction.

The AI Search organization is responsible for building a universal AI-Native search platform that delivers complex, multi-modal queries needed to support everything from traditional personalized search results & recommendations to multi-turn conversations, to complex multi-product trip planning, and everything in between.

In this role, you will:
  • Provide technical vision and leadership in the design, implementation, and scaling of AI-powered search systems across multiple business domains.
  • Architect and deliver robust, scalable, and efficient solutions for complex search and retrieval challenges, ensuring high performance and reliability.
  • Guide system design (including low-level design), API architecture, and data modeling for next-generation AI search platforms.
  • Champion integration and operation of AI/ML-enabled solutions that enhance search relevance, customer experiences, and business outcomes.
  • Establish a solid AI Search health and quality measurement framework that will be operationalized to assess the quality of our search systems from multiple stakeholders' perspectives and objectives, diagnose/detect quality issues, and identify areas of opportunity
  • Mentor and influence engineering teams, foster knowledge sharing and the adoption of best practices in AI search technologies.
Minimum Qualifications:
  • Bachelor’s degree in computer science or a related technical field; or Equivalent related professional experience.
  • 14+ years of relevant professional experience.
  • Proven track record owning architecture, delivery, and operational excellence for large-scale, distributed software systems.
  • Deep expertise in system design, API development, and data modeling within search or AI-driven environments.
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Preferred Qualifications:
  • Recognized experience architecting and operating large-scale AI or search infrastructure in high-traffic, production environments.
  • Demonstrated leadership in establishing technical standards, driving architectural decisions, and mentoring senior engineering talent.
  • Expertise in designing and deploying safe and effective AI/ML-enabled solutions that optimize search outcomes.
  • Strong record of data-driven decision making, including evaluating and improving AI models and search algorithms.
  • Advanced knowledge of responsible AI practices specific to search, including bias mitigation and explainability.

The total cash range for this position in Seattle is $ to $. Employees in this role have the potential to increase their pay up to $, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

The total cash range for this position in Austin is $ to $. Employees in this role have the potential to increase their pay up to $, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on…

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