Principal Quantitative User Experience Researcher, AI

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.

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.

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

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.

• 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.

• 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.

• 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…