The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What they're looking for
- Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance.
- Collaborate across engineering, ML, design, data science, and policy to build: consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production.
- + years of industry experience with a BS/Masters OR 6+ years with a PhD, with: deep expertise in AI/ML-powered platforms at consumer scale
- Strong working knowledge of personalization systems, contextual data: retrieval, and LLM architectures - you can engage credibly with ML engineers on topics like RAG, retrieval optimization, and context engineering tradeoffs
