--- title: "The Training Infrastructure Behind AI-Powered Job Search: 8X Faster Multi-Teacher Distillation" url: https://daily.dev/posts/the-training-infrastructure-behind-ai-powered-job-search-8x-faster-multi-teacher-distillation-sfwknf7xt source_url: https://www.linkedin.com/blog/engineering/infrastructure/the-training-infrastructure-behind-ai-powered-job-search-eight-x-faster-multi-teacher-distillation type: article source: "LinkedIn Engineering" published: 2026-08-06T13:14:31.950Z updated: 2026-08-06T13:14:53.901Z tags: ["machine-learning", "pytorch"] reading_time: 16 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The Training Infrastructure Behind AI-Powered Job Search: 8X Faster Multi-Teacher Distillation **[LinkedIn Engineering](https://daily.dev/sources/linkedin)** · 16 min read · 0 upvotes · 0 comments ## Summary LinkedIn's engineering team details how they rebuilt the training infrastructure for AI-Powered Job Search using multi-teacher knowledge distillation. The system coordinates a relevance teacher, engagement teacher, and embedding model to train a compact 0.6B student SLM capable of serving ~22,000 requests/sec/GPU. Key optimizations include: migrating to FSDP2 with Hybrid Sharded Data Parallel (HSDP), switching to high-throughput inference engines with continuous batching and paged attention (2X faster teacher inference, 4X larger batches), and introducing offline distillation with per-shard caching on HDFS to decouple teacher inference from student training. The result is an 8X end-to-end speedup — from ~45 hours to under 5 hours — with no loss in model quality. The entire pipeline is unified under a Ray-based framework where online and offline distillation are per-teacher decisions within a single run, enabling same-day experimentation cycles. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Reimagining LinkedIn’s search tech stack](https://daily.dev/posts/reimagining-linkedin-s-search-tech-stack-mwajgbtsf) · LinkedIn Engineering · 1 upvotes · 0 comments - [Job Searcher](https://daily.dev/posts/job-searcher-jnnq5luqj) · Hugging Face · 19 upvotes · 1 comments - [Making Knowledge Distillation Cheap Enough to Run at Scale](https://daily.dev/posts/making-knowledge-distillation-cheap-enough-to-run-at-scale-xssmbsifu) · Hugging Face · 10 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/the-training-infrastructure-behind-ai-powered-job-search-8x-faster-multi-teacher-distillation-sfwknf7xt)