Refactoring Thrift schemas at Pinterest

The Pinterest tech stack consists of hundreds of microservices written in a variety of languages that use Apache Thrift to communicate with each other. Thrift schemas are used to define our service interfaces, constants and serialized data across all levels of the stack…

Calidad y pruebas de las métricas publicitarias en dispositivos móviles

En Pinterest, todos los días ayudamos a nuestros socios de publicidad a llegar a los usuarios a través de diferentes formatos de anuncios y les ofrecemos métricas y análisis sobre el rendimiento de sus anuncios. Mantener la confianza…

A Pinterest Engineering guide to technical interviews

Technical interviews are the key component to landing an engineering role. Everything from preparation to asking the right questions is important for a successful interview. In this post, Pinterest employees from Recruiting and Engineering share tips and tricks for…

How ads indexing works at Pinterest

Introduction Ads indexing is a data processing pipeline that builds servable ad documents for the ads delivering stack at Pinterest, including ads targeting, retrieval, ranking and auction. The pipeline converts ad campaigns in the raw format to the servable format via a heavy computational…

Introducing inclusive beauty searches for mobile

This week, we’re announcing skin tone ranges is coming to iOS (followed by Android) so Pinners can discover relevant hair and makeup ideas. Over the coming weeks, when Pinners search for beauty ideas on their iPhone or iPad app, a palette representing a range of skin tones will appear. The palette enables them to personalized Pins and videos they see. By combining the latest in machine learning and inclusive product development, we’re able to directly respond to Pinner feedback and build a more useful product. Last year, nearly 60% of the top 100 search terms for skin-related searches involved a tone, such as dark skin, pale skin, and olive skin, which showed us women of all skin types wanted a way to customize their searches. Keep an eye out for a deeper look at the design process behind the product. Acknowledgements: Emma Herold, Lulu Cheng, Long Cheng, Yixue Li, Larkin Brown, Candice Morgan, Xixia Wang, and Laksh Bhasin.

Trusting Metrics at Pinterest

Pinterest, like many tech companies, relies heavily on data to help inform decisions and power machine learning. This strategy fundamentally depends on the data being accurate. Over the years we’ve worked to improve the processes behind trusting core decision-making data and ensure metrics remain accurate. How Data Can Go Wrong …

Virtual onboarding in the time of COVID-19: The new hire’s new normal

Cindy Xinyi Zhang | Data Scientist, Experimentation and Metrics Science On March 2nd, exactly one week before my full-time position at Pinterest started…

Building Pin stats

A few months back, we started building a way for businesses to create and showcase their latest and favorite content on their profiles. We also wanted to make it easier for businesses to understand how their Pins are performing. If a business can…

Three-day no-meeting schedule for engineers

About 100 days ago, our product engineering team began experimenting with a three-day no-meeting schedule for individual contributors on our teams. It’s not a big revelation that software development requires long stretches of uninterrupted time to focus. As Pinterest has grown…

Ad Metrics Quality and Testing on Mobile

Every day at Pinterest, we help our advertising partners reach Pinners through different ad formats, and we provide them with metrics and analytics on how their ads are performing. Maintaining our partners’ trust and delivering value is critical, so the metrics we expose…

Building Pin cohesion

At Pinterest, we’re building a visual discovery engine where ideas become actionable with links to more information. Once a Pin is saved, its linked content may be updated or expire over time, and so it’s critical to know…

Bottoms-Up: How the Pinterest growth team decentralizes team structure

On the growth team at Pinterest, we describe our structure as “bottoms-up”, meaning ideas and responsibilities flow throughout the team in a way that provides a lot of autonomy to work on the projects each person wants to tackle, across a variety of roles. The…

Launching your career as an apprentice engineer at Pinterest

In 2018, after more than a decade focused on environmental sustainability, I decided to start a new career as a software engineer. I enrolled in an immersive software development course in NYC, and a year later I was headed to a software engineering apprenticeship…

How we use AutoML, Multi-task learning and Multi-tower models for Pinterest Ads

People come to Pinterest in an exploration mindset, often engaging with ads the same way they do with organic Pins. Within ads our mission is to help Pinners go from inspiration to action by introducing them to the compelling products and services that…

Improving data processing efficiency using partial deserialization of Thrift

At Pinterest we’ve worked to greatly improve data processing efficiency. One quote that resonates with our unique approach is from writer Antoine de Saint-Exupéry: “Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.” Ultimately…

Pin2Interest: A scalable system for content classification

Content understanding is at the core of any great recommendation system. By knowing what each Pin is about, Pinterest can connect Pinners with the most relevant and inspiring content that best matches their interests. Taxonomy of interests The Interest Taxonomy captures popular concepts that appear within Pinterest…

Adventures in big data wonderland: Going down the Pinterest Path

Have you ever started looking for plants on Pinterest, only to end up shopping for pillows instead? Ever find yourself layers of Pins deep into finding a new idea, not sure of how you got there or where you started? When Pinners are in…

How switching our domain structure unlocked international growth

More than half of the 200 million monthly active users on Pinterest use our app outside the U.S. As we continue to make Pinterest even better for our global users, we moved our traffic to country code top-level domains (ccTLDs). An example of this…

How Pinterest fights misinformation, hate speech, and self-harm content with machine learning

Pinterest is an inspiration network where people come for positivity and new ideas, and there’s nothing inspiring about harmful content. As a visual discovery engine with hundreds of billions of Pins…

Pin it to Win it: Our First Virtual Pinternship

When our University Recruitment team started planning for the 2020 Pinterns to arrive, our goal was to welcome them to Pinterest and provide them with a memorable experience. As the pandemic quickly changed everyone’s plans, this core goal remained the same and we adapted our strategy to accommodate the…

PinalyticsDB: A Time Series Database on top of Hbase

PinalyticsDB is Pinterest’s proprietary time series database. At Pinterest, we rely on PinalyticsDB as a backend for storing and visualizing thousands of time series reports such as the sample case below, segmented by country. PinalyticsDB was built several years ago on…

Growth engineering meetup

Synopsis of the talks Paid growth @ Airbnb Ganesh Venkataraman discusses the various channels and techniques…

En Pinterest desarrollamos compilaciones para iOS rápidas y confiables

En Pinterest nos enfocamos en ayudar a las personas a descubrir ideas inspiradoras, desde recetas para una cena, hasta productos de estilo y para el hogar que comprar y lugares a los que viajar. Para ello, es…

How Pinterest runs Kafka at scale

Pinterest runs one of the largest Kafka deployments in the cloud. We use Apache Kafka extensively as a message bus to transport data and to power real-time streaming services, ultimately helping more than 250 million Pinners around the world discover and do what…

El fantástico Fixathon

Los ingenieros de Pinterest siempre están enfocados en hacer lo mejor para el producto, pero trabajar en una base de código limpia, con buen mantenimiento y relativamente libre de errores transforma las tareas de ingeniería de ser “solo trabajo” a oportunidades agradables para…