Erran Berger
VP of Product Engineering at LinkedIn leading efforts to scale AI for recommender systems; led the distillation pipeline turning large LLMs into ultra-efficient student models for production at LinkedIn.
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Jan 21, 2026 • 41min
Inside LinkedIn’s AI Engineering Playbook
Erran Berger, VP of Product Engineering at LinkedIn who led distilling large LLMs into ultra-efficient production models. He reveals how LinkedIn distilled 7B models down to 600M students, the multi-teacher split for policy vs. clicks, synthetic GPT-4 golden datasets, and the 10x latency savings from pruning, quantization, and context compression. He also explains the org shift to eval-first product design.
