LinkedIn rebuilt their job search system using advanced AI to move beyond keyword-based search to natural language understanding. The new system uses large language models, embedding-based retrieval, and GPU infrastructure to understand complex job search queries like 'Find remote software engineer jobs in Silicon Valley with above median pay.' The architecture splits into retrieval and ranking stages, uses synthetic training data generation, and employs model distillation techniques to balance accuracy with computational efficiency at scale.

13m read timeFrom linkedin.com
Post cover image
Table of contents
Fueling the system: generating quality training dataArchitecting semantic understandingScalable GPU infrastructure for retrievalEnhanced ranking with cross-encoder models

Sort: