37 articles
Airbnb explains how COVID broke their booking-to-trip forecasting models and the architectural changes they built to handle structural data shifts.
Pinterest describes how they built a production MCP (Model Context Protocol) ecosystem to enable AI agents to safely automate engineering tasks.
Airbnb shares hard-won lessons from migrating its observability platform from third-party vendors to a custom in-house solution built on Prometheus across 1,000 services.
Airbnb describes how they built a destination recommendation model to help exploratory users in the trip planning stage discover and narrow down travel destinations.
Pinterest evolved its Text-to-SQL system into a production Analytics Agent using unified context-intent embeddings and governance-aware ranking to serve 100,000+ tables and 2,500+ analysts.
Airbnb explains how they rebuilt their Observability as Code (OaC) alert development workflow to eliminate weeks-long validation cycles.
Pinterest unified three separate ads engagement models for Home Feed, Search, and Related Pins into one shared architecture.
Pinterest investigates the online–offline discrepancy in L1 CVR models in their ads funnel.
Airbnb recaps its 2025 academic research at KDD, CIKM, and EMNLP covering ML, NLP, and recommendation systems.
Pinterest's Piqama is a generic quota management ecosystem that handles the full lifecycle of resource quotas across Big Data Processing and Online Services.
This post describes how Airbnb built "Sitar," their internal dynamic configuration platform for shipping runtime config changes safely at scale.
This post describes Pinterest's Auto Memory Retries feature for Apache Spark, which automatically retries OOM-failed tasks on larger executors to reduce failures and resource waste.
Pinterest introduced a GPU-served two-tower model using MMOE-DCN architecture for lightweight ads engagement prediction.
Anna Sulkina, Senior Director of Engineering at Airbnb, shares her career journey from Soviet-era Ukraine to leading Application & Cloud Infrastructure.
Pinterest describes its next-generation database ingestion framework built on CDC, Kafka, Flink, Spark, and Iceberg to replace legacy batch-based pipelines.
Spotify's ads team describes how they re-architected their serving stack to replace the Two-Tower model with more expressive neural networks capable of deep feature interactions.
Pinterest's Ads team developed transformer-based behavioral sequence models to improve ad candidate generation using users' offsite activity history.
Pinterest introduces PinLanding, a production pipeline that uses multimodal AI to automatically generate shopping collections from billions of catalog items.
This post explains how Airbnb launched 20+ local payment methods (LPMs) across global markets in 14 months through architectural modernization.
Pinterest Search presents a methodology for scaling search relevance assessment using fine-tuned LLMs to replace costly human annotation.
Airbnb