Distinguished Scientist - Agentic - Supply

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.

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 & Data Science team is breaking new ground to tackle some of the most complex customer experience problems in the travel domain to lead the science, architecture, and experimentation behind supply‑side agentic experiences across Expedia Group, spanning Vrbo hosts, hotels, and other supply partners. This team will shape how autonomous AI agents help partners run their business via natural language, safely and at scale—turning requests like “Block next Friday”, “Any booking requests?”,

or “How is my property performing this month?” into secure, auditable actions across our supply platforms.

• Shape the long‑term vision and scientific agenda for agentic applications serving supply partners across Expedia Group
• Serve as a strategic thought partner to senior product, engineering, and platform leaders, defining the role of agentic interfaces vs. traditional tooling and ensuring we deliver real business value
• Design and evolve agentic experiences and architectures

• Lead applied research in areas such as tool‑using and multi‑agent systems, for complex supply management workflows.
• Be hands‑on building prototype agents and components, design and run experiments, build and evaluate models, and work with engineering teams on end‑to‑end systems
• Serve as a recognized internal and external authority on agentic applications, LLMs, and multi‑agent frameworks in industry, academia, and the broader ML community (e.g., impactful publications, patents, major conference talks, open‑source contributions).

• Bachelor of Science degree in Computer Science, Machine Learning, or related field, with 15+ years of experience.
• Deep expertise in LLM training/tuning/distillation, multi‑agent frameworks and orchestration of tool‑using agents, along with architecting ML platforms and systems to support large‑scale experimentation and deployment of agents.
• Familiarity with agentic evaluation frameworks (e.g., Lang Smith, Deep Eval, Galileo), agentic protocols (e.g., MCP, A2A, AG‑UI, ACP), and agentic frameworks (e.g., Lang Graph, Llama Index, Auto Gen), or comparable internal/industry tools.
• Demonstrated ability to deliver large, complex GenAI projects from concept to production.
• Proficiency in one major ML programming language (e.g., Python) and familiarity with data pipelines and model deployment tooling and practices.
• Demonstrated ability to define best practices at a department or organizational level and to drive improvements to business processes, knowledge, and technical maturity through workshops, coaching, and thought leadership.

• PhD in Computer Science, Machine Learning, or related field with 12+ years’ experience is required.
• An entrepreneurial mindset, with a history of converting proofs‑of‑concept into revenue‑generating solutions and tangible business outcomes.
• Proven track record as a recognized industry leader in GenAI (e.g., impactful publications, patents, open‑source…