Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Expedia Group
Seattle, WA, US
Onsite
2026-07-03
Announced salary
$173,000 - $277,000
Low
$101K
Median
$133K
High
$176K
Market in Seattle · BLS OEWS 2025
Estimated net pay
$10,793 - $16,731
/month · 25% withheld
after tax & contributions · Single, no dependents
Job description
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors\-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together\-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
**Sr. Machine Learning Scientist, Agentic AI \& GenAI Systems (Growth Marketing)**
We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology.
Our Growth Marketing team is redefining how AI\-driven, agentic automation meets data\-powered marketing. We build production\-ready multimodal LLMs, GenAI, and agentic architectures that power personalized travel discovery, real\-time cross\-platform campaign execution, and interactive chatbots/UIs. For example, “Trip Matching” on Instagram transforms inspiring reels and posts into instant hotel recommendations, powered entirely by our production AI.
We are looking for a hands\-on Senior Machine Learning Scientist who thrives on **building end\-to\-end systems** , from **backend architecture to user\-facing interfaces** , including **agentic** **UX/UI, observability, and product integration** .
**In this role, you will:**
* Architect, build, and ship enterprise\-scale GenAI, RAG, and multi\-ag
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