Own the Modeling → ML Serving → API architecture rebuild for Airbnb's host pricing systems

A senior IC (Staff-level) role owning the technical strategy for a full ML serving-infrastructure rearchitecture at Airbnb — feature stores, model versioning, online/offline consistency, and backfill/evaluation infra for the Host Pricing org. Interview will be deep on ML systems design (not modeling itself), cross-team architecture contracts, and hands-on coding at senior IC scale.

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What this interview tests

Feature store design & online/offline consistency
Model versioning and multi-version serving
Backfill and evaluation infrastructure at scale
Cross-team technical contracts (Modeling vs. Serving)
Hands-on architecture + coding at senior IC level

Common question themes

Design a feature store that guarantees training/serving consistency

How would you support multiple model versions in a shared serving stack

Describe solving point-in-time correctness for backfills over historical data

Tell me about defining a technical contract between two teams so each could move independently

How have you driven a cross-org ML infrastructure migration and sequenced the work

How candidates describe it

Real Senior Staff Software Engineer interview stories — retold from candidates' public write-ups, with sources.

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