The Training Infrastructure Behind Ai Powered Job Search Eight X Faster Multi Teacher Distillation

LinkedIn reports bringing job-search student-model training below five hours by distributing the work and reusing larger models' outputs. These larger teachers judge relevance and likely engagement; the smaller student learns from their judgments. Previously, experiments repeated teacher calculations even when only the student changed. The revised pipeline can reuse saved outputs from an unchanged teacher while calculating fresh outputs from another.

This extends its earlier search architecture by shortening the experimentation cycle. The reported benefit is same-day testing of ranking changes, rather than an equivalent speedup in search results.