Yelp Engineering

How do you build a chat UI that can move fast across iOS, Android, and web? Daniel A. shares how Yelp Assistant uses a hybrid native and server-driven UI, powered by CHAOS, to iterate quickly while keeping the experience consistent. Read more 👉 bit.ly/4hTY4qY

Learn how we boosted relevance and speed by embedding ML-based ranking into Nrtsearch, Yelp’s open-source search engine. Modular design and monitoring power scalable, personalized results across Search, Ads, and Home Feed. More from Mohammad M. & Tao Y. 👉 bit.ly/4hAjBDS

Our latest blog post by Arpitha D. covers how Yelp's Menu Vision uses on-device ML, fuzzy matching, and LLM-powered data pipelines to deliver real-time, accurate dish recognition—turning menu scans into instant, photo-rich dining experiences. Post here👉bit.ly/4qsbxch

Yelp just completed a massive migration from Flow to TypeScript: 1.4M+ lines of code, improved type coverage, and a smoother developer experience. Shawn W. explains how investing in tooling and gradual migration made it possible: bit.ly/4bZJAm2

We retired apollo-tooling and migrated to GraphQL Codegen in Yelp’s frontend. Hundreds of teams didn’t need to change a line of code, thanks to careful planning and upstream contributions. Igor K. explains the seamless switchover in our latest post: bit.ly/45cn3P3

Meet Training Orchestrator, Yelp’s way to make model training simpler with clear configs, easy step swaps, real-time notifications, and instant reproducibility without tangled scripts. Learn more from Ying W. and Nathan S. in our latest post: bit.ly/4wFG0W

Find out how we transformed Yelp’s Customer Success with an AI-powered chatbot! By combining LLMs with Retrieval Augmented Generation, we doubled resolution rates and made support smarter and more conversational. Read the blog by Lina L., and Nelson L. 👉bit.ly/4fLZcfD

Visualizing data access at scale helped us reduce our S3 data lake storage costs by 33%! Our latest blog post by Nick D. explains how fine-grained usage insights empowered better storage policies and platform improvements at Yelp 👉bit.ly/4dnsfof

We reduced our JS build times by ~52% by migrating from Webpack to Rspack! Check out this post by Benson P and dive into how we optimized bundle speed, handled config migration, and made our dev workflow faster at scale 👉bit.ly/4nJbCaa

One button. Four platforms. Zero inconsistencies. In our latest post, Radu C. explains how we built Konbini to auto-generate UI components from a single source of truth so the backend, iOS, Android, and Web are always in sync. Check it out here 👉 bit.ly/3QTXUoo

The Database Reliability Engineering team at Yelp seamlessly upgraded more than a thousand Cassandra nodes with zero downtime; resulting in 58% boost in read/write query performance. Curious how? Have a look at our latest blog: bit.ly/4mofP2d

Read our latest post by Samuele M. to discover how Yelp Engineering built a robust Back-Testing engine to make ad budget allocation smarter and safer! Dive into our tech, learnings, and impact on campaign optimization. 🔗Read the post here: bit.ly/3M2cKY6

Keeping Yelp reliable for millions means handling data at scale. In our latest blog post, Nurdan A shares how smarter S3 log management helps enhance both security and speed for our users! Read the post here: bit.ly/48nynco

New: Jonathan B. & Xin S. take you behind the scenes of CHAOS, Yelp's server-driven UI framework. Discover how our backend processes each request and assembles dynamic UI configurations to keep Yelp fast, flexible, and user-focused. Read the deep dive: bit.ly/4o2muzM

New: Anukriti & Chukwuemeka share part three of our Revenue Automation Series! See how we tackled testing and data challenges while integrating a 3rd party system for revenue automation at Yelp. Discover our lessons & improvements: bit.ly/44kL8nc

In our new post, Sarthak and Andrew walk us through the big updates in Nrtsearch V1! Discover how incremental backups, smarter state management, ephemeral local disks, and a move to Lucene 10 are powering faster, more reliable search at Yelp. 🔗: bit.ly/3YACAp4

🚀 New: Yizheng Z. & Yirun Z. dive into the second installment of our Revenue Automation Series! Discover how our engineering team crafted a complex data pipeline for seamless 3rd party integration, automating revenue recognition at Yelp. Check it out 👉 bit.ly/4i1xR76