Inventive engineers building the first visual discovery engine, 300 billion ideas and counting. - Medium
Part 1 of 2 Authors Personalization (Homefeed): Yuke Yan, Chuxi Wang, Andreanne Lemay, Olafur Gudmundsson, Anna Kiyantseva, Krystal Benitez, Jongho Kim, Jiacong He, Rahul Goutam, James Li, Dylan Wang User Understanding: Simin Li, Sufyan Suliman, Yingjian Ding, Hongbo Deng Data Science: Armando Ordorica, Yan Chen, Ellie Zhang, Karim Wahba Introduction Pinterest’s mission is to help people discover…
Ammar Ekbote | Senior Software Engineer Chan Kim | Senior Software Engineer Managing Infrastructure as Code (IaC) across a massive organization comes with a unique set of security and logistical challenges, particularly when operating within a distributed, multi-repository architecture. At Pinterest, we designed the Resource Provisioner Pipeline (RPP) , our specialized, proprietary Terraform…
Sheng Huang | Software Engineer, AI Platform; Pong Eksombatchai | Machine Learning Engineer, Applied Sciences; Saurabh Vishwas Joshi | Software Engineer, AI Platform; Gaurav Arora | Software Engineer, AI Platform; Karthik Anantha Padmanabhan | Engineering Director, AI Platform At Pinterest, foundation models power recommendations for over 600 million monthly active users. Our latest Foundation…
Yisheng Zhou | Software Engineer II Liang Mou | Sr Staff Software Engineer Gabriel Raphael Garcia Montoya | Staff Software Engineer Istvan Podor | Staff Software Engineer Introduction In the first post of this series , we introduced Pinterest’s next-generation CDC-based ingestion platform built on Kafka, Flink, Spark, and Iceberg. In production, upstream schemas are constantly evolving, and in a…
Authors ( listed alphabetically ) Ads Feature Engineering Infra team: Ajay Venkatakrishnan, Le Zhang Core ML Infra team: Eric Shang, Pihui Wei ML Data team: Connor Votroubek, Yi He User Understanding team: Camilo Munoz, Simin Li If you work on ranking, retrieval, or recommendation systems, you’ve probably asked for some version of the same thing: “Give me the last N meaningful actions this user…
An Engineer’s Guide to Better AI Skills: Implementing a Testing Process to Optimize Agent Performance in Any Repository or Skill Author: Daniel Reed The tech industry is currently seeing a massive overhaul in the way we work and many are enjoying the benefits of AI agents, particularly when automating engineer workflows and serving domain-specific knowledge. However, relying on agents to…
Huiqin Xin | Machine Learning Engineer II, Ads Vertical Modeling; Lakshmi Manoharan | Senior Machine Learning Engineer, Ads Vertical Modeling; Karthik Jayasurya | Staff Machine Learning Engineer, Ads Signals; Ziwei Guo | Senior Machine Learning Engineer, Ads Vertical Modeling; Alina Liviniuk | Machine Learning Engineer II, Ads Vertical Modeling Motivation: The Need for Real-Time Context In a…
Guangtong Bai | Staff Software Engineer, Product ML Infrastructure*; Shantam Shorewala | Software Engineer II, Product ML Infrastructure*; Chi Zhang | Staff Software Engineer, AI Platform*; Neha Upadhyay | Software Engineer II, AI Platform*; Haoyang Li | Director, Product ML Infrastructure *These authors contributed equally to this article. Background At Pinterest, our online ML serving systems…
Authors: Richard Huang | Machine Learning Engineer II; Yu Liu | Senior Machine Learning Engineer; Ziwei Guo | Senior Machine Learning Engineer; Andy Mao | Staff Machine Learning Engineer; Supeng Ge | Sr. Staff Machine Learning Engineer Introduction At Pinterest, conversion ads are crucial for matching users with products they are likely to purchase, boosting value for both users and advertisers¹.…
Shanhai Liao | Senior Software Engineer, Content Acquisition and Media Platform; Di Ruan, | Senior Staff Software Engineer, Content Acquisition and Media Platform; Evan Li, | Senior Engineering Manager, Content Acquisition and Media Platform Introduction Accurate content understanding underpins Pinterest’s ability to drive distribution and engagement. This requires deep insight not just into the…