Job Description Senior Machine Learning Scientist- Search, Recommendations, & AI Engineering (Seattle)

Introduction to the Team :

Our Technology Team partners with teams across Expedia Group to create 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 that drive loyalty and traveler satisfaction.

The Multi-Product AI team at Expedia Group enables unforgettable travel experiences. The teams responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, were responsible for optimizing our interactions with travelers across this domain, including cache optimization, price forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI and Agentic AI solutions. We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions.

The Senior Machine Learning Scientist will be a technical lead for our teams Generative & Agentic AI projects. You will utilize RAG pipelines, LLM orchestration, MCP servers and other techniques to solve challenging business problems, implement best practices across the team, and act as a full-stack contributor to design, develop, and deploy AI solutions. You will work with a dynamic group of product managers, engineers, and scientists to achieve Expedias business goals.

In this role, you will :

• Enhance our recommendations across both agentic & traditional search placements
• Design and implement agentic AI systems and define best practices for the team
• Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration
• Lead end-to-end agent development lifecycles, including prompt engineering, RAG, evaluation, deployment, and monitoring
• Utilize MCP for enterprise data / tool connectivity
• Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises.
• Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities
• Stay abreast of developments in machine learning & AI via publications and conferences

Minimum Qualifications :

Preferred Qualifications :