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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.

Principal Quantitative User Experience Researcher, AI (R-106384)

Location: New York, Austin, Los Angeles, San Jose, San Francisco, Seattle, with other EG Locations up for discussion.

Introduction to the Team

The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company.

At Expedia Group, we believe the best AI products and systems are built with humans at the center. Our User Experience Research team partners across Product, Data Science, AI/ML, and Technology to ensure that as we build more intelligent, automated, and personalized travel experiences, we never lose sight of the traveler's needs.

We are looking for a Principal Quantitative UX Researcher to help lead that research — defining how we measure human experience with AI across agentic systems, intelligent recommendations, generative features, and the evolving relationship between travelers and automation.

We're seeking someone with a creative streak, a love for science, and the rigor to build measurement frameworks that hold up under pressure. If you are a problem solver who finds just as much joy in a well-designed survey as in a well-tuned model, this could be the role for you.

In This Role, You Will:

Define the quantitative research strategy for AI-powered product areas, establishing how we measure the quality, trust, and effectiveness of intelligent systems at scale.
Design and execute large-scale surveys, behavioral studies, and log-data analyses — linking attitudinal data from surveys to behavioral signals from product logs to generate integrated insights.
Build and validate measurement frameworks — including psychometric instruments, experience metrics, and AI evaluation rubrics — that apply statistical rigor to challenges like LLM output quality, human-in-the-loop assessment, and benchmark validation.
Write and maintain complex SQL queries and Python or R scripts to access, clean, analyze, and build scalable datasets that track AI quality and experience outcomes over time.
Partner with other Researchers, AI/ML scientists, Data Science, Product, and Design to embed human-centered measurement into AI development workflows and evaluation pipelines.
Mentor researchers across the team and contribute to thought leadership in AI evaluation, raising the bar for quantitative rigor both internally and in the broader community.

Minimum Qualifications:

Master's degree or PhD in Human-Computer Interaction (HCI), Computer Science, Statistics, Psychology, or a related field — or equivalent professional experience.
8+ years with no advanced degree, or 5–10 years with a suitable advanced degree.
Expert in quantitative research methods: survey design and psychometrics, experimentation, key driver analysis, and hypothesis testing.
Expert-level SQL skills and expert-level proficiency in Python or R (or both) for statistical analysis, modeling, and data visualization.
Deep experience connecting survey-based attitudinal data to behavioral log data to generate integrated insights.
Demonstrated understanding of AI/ML systems — including how large language models, recommendation systems, or agentic workflows function — and the ability to design research that evaluates them from a human perspective.
Strong ability to define and operationalize metrics that are scientifically valid and meaningful to product and engineering partners, with the communication skills to make them land.

Preferred Qualifications:

Experience designing or contributing to AI evaluation frameworks, including human evaluation protocols, LLM-as-judge validation, or automated benchmark quality assessment.
Familiarity with psychometric validity frameworks (construct validity, criterion validity, reliability) and their application to AI output quality measurement.
Experience working on generative AI, conversational AI, or agentic product experiences.
Background working within or alongside AI/ML teams, not just researching their outputs.
Experience with survey platforms (e.g., Qualtrics) and site intercept methodology.
Contributions to the research or AI community via publications, conference presentations, or open-source work.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, 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 New York is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, 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 $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, 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 San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, 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 multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.