Airbnb
Staff
Defend your track record shipping LLM-driven, agentic AI systems at scale for Airbnb's CS product
Airbnb's Community Support Products (CSP) ML team is hiring a Staff Machine Learning Engineer to build Generative AI systems — LLM fine-tuning, RAG/search, evaluation automation, and guardrails — that power an intelligent, scalable customer service experience for guests and hosts. The role requires 9+ years of ML engineering experience with ownership of large-scale systems and is US remote-eligible.
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What this interview tests
- LLM fine-tuning and optimization at scale
- RAG/search system design
- LLM evaluation and testing automation
- Guardrails and feedback-based learning for agentic AI
- Staff-level ownership: 0-to-1 ambiguous initiatives, cross-functional influence
Common question themes
Own a large-scale ML system end to end — architecture, scale, failure modes
Design an evaluation framework to catch LLM/chatbot regressions before production
Build guardrails for an agentic AI customer support product
Take an early-stage, ambiguous AI initiative from concept to production
Tradeoffs between automation, latency, and human escalation in a CS/support context
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