Pinterest Engineering

We're the engineers behind Pinterest, building a visual discovery engine powered by the latest in machine learning, billions of ideas and 600+ million users.

[Pinterest Engineering @PinterestEng]

New on the blog: how we infer user journeys - the latent goal behind weeks of saves, searches & closeups. Learn how we serve fine-tuned LLMs to hundreds of millions of users, and what's next with Semantic IDs & generative recommendations: https://t.co/DPNrq9fGPA

[Pinterest Engineering @PinterestEng]

Learn about Metrics Board, our platform for defining, computing, and publishing metrics. It drives speed, context, and efficiency with one idea: define a metric once, as a versioned spec, and let everything downstream follow - including analytic agents. https://t.co/kZL6ag0TPv

[Pinterest Engineering @PinterestEng]

We're excited to announce our 7th Annual ML Day Conference on November 5. Get ready for keynote sessions with Pinterest Engineering leaders, panel discussions on AI at Pinterest and lightning talks that dive deep on ML innovation. Register now: https://t.co/WZDrHwByp5

[Pinterest Engineering @PinterestEng]

Streaming ingestion gives us fresher data in minutes, but how do we know when a partition is complete enough to read?

Learn how we restore that guarantee with Iceberg commits, safe-to-read watermarks and reusable Flink-to-Iceberg sink extensions. https://t.co/OT4mh89j42

[Pinterest Engineering @PinterestEng]

Learn how the team launched the first 3-tower engagement co-train model for ads lightweight ranking at Pinterest, introducing richer user-ad interactions while maintaining the latency and cost efficiency required at scale. https://t.co/WmZtZGuVQG

[Pinterest Engineering @PinterestEng]

Manas serves billions of embeddings across 80+ clusters at Pinterest, but scaling to tens of billions, we needed new approaches: quantization (50%+ memory savings), SSD-based serving (10x less RAM), & multi-embedding retrieval for richer ranking. Details: https://t.co/sSvxhAnvUy

[Pinterest Engineering @PinterestEng]

Get to know the story behind building our new multimodal AI foundation with NVIDIA. Our team shares insights about enabling Pinterest Assistant to run 25x more visual context per request. https://t.co/qRtW06tHw1

[Pinterest Engineering @PinterestEng]

Today, @Pinterest announced a new foundation for multimodal AI built with @nvidia to support a growing range of products that rely on both images and language.

Learn more: https://t.co/7jAJgwv5Cd

[Pinterest Engineering @PinterestEng]

@vibellingham @Pinterest We're happy we could help out. Let us know if you have any further questions or concerns.

[Pinterest Engineering @PinterestEng]

@vibellingham @Pinterest Hi there,
Shuffles is a collage tool that allows you to create, publish and share visual content.
For now, it's only available on iOS. To access Shuffles, you need to have an iOS device that has been updated to the latest version.
You can download Shuffles from the App Store: ...

[Pinterest Engineering @PinterestEng]

@ArpdStudio @Pinterest Hi there,
Thanks for the feedback! We've shared it with our team and we'll keep it in mind as we create new features and make improvements to existing ones.
Have a great day!

[Pinterest Engineering @PinterestEng]

In our latest blog, we introduce Conditional Learned Retrieval, a powerful two-tower architecture combining state-of-the-art ML and modern RecSys methods to balance user engagement with contextual relevance to users' various interests. Learn how we did it: https://t.co/igkmZvZMaY

[Pinterest Engineering @PinterestEng]

🚀We break down RPP - our purpose-built terraform execution engine for securing tens of thousands of AWS resources across hundreds of workspaces.

🔒See how we combine OIDC role-chaining, backend checks, and PR dual controls to lock down multi-repo IaC 👇
https://t.co/JnxnXaCGYY

[Pinterest Engineering @PinterestEng]

@SEvilloon146 Hi there! We're here to help! Send us a DM and we'll check it out. Thanks!

[Pinterest Engineering @PinterestEng]

@SEvilloon146 @Pinterest Hi there! We're here to help! Send us a DM and we'll check it out. Thanks!

[Pinterest Engineering @PinterestEng]

Calling all aspiring product managers, designers and researchers 📢 Applications for Pinterest’s 2026 Products Apprenticeship Program are now open. Apply now: https://t.co/HYVOXkveFO

[Pinterest Engineering @PinterestEng]

Schema changes shouldn't break your offline DB ingestion pipeline.

Our latest blog explores how Pinterest automates schema evolution for its next-generation DB ingestion framework, safely propagating schema changes across Kafka, Flink, Spark, and Iceberg. https://t.co/LJH00SdcRM

[Pinterest Engineering @PinterestEng]

Adding a second GPU node made training 5x slower.

Our team shares how we moved foundation model training from a broken 0.2x baseline to 7.5x scaling by fixing networking, profiling, communication, and distributed topology.

https://t.co/mOa81sxtqO

[Pinterest Engineering @PinterestEng]

Our next Pinterest Labs Talk in one week away! 🚨

UC Berkeley's Dawn Song will join us for a discussion on recent advancements in AI & LLM agents and the risks they present. Register now to attend: https://t.co/Qp8bGbzoAZ

[Pinterest Engineering @PinterestEng]

@fa_r1_ha @Pinterest Hi there! We're here to help! Send us a DM and we'll check it out. Thanks!