Xiaomei Liu, Joseph Lynch, Chris NewtonIntroductionBehind the Streams: Building a Reliable Cloud Live Streaming Pipeline for Netflix introduced the architecture of the streaming pipeline. This blog post looks at the custom Origin Server we built for Live — the Netflix Live Origin. It sits at the dem...
LLM-Powered Relevance Assessment for Pinterest Search
Han Wang | Machine Learning Engineer; Alex Whitworth | Staff Data Scientist; Pak Ming Cheung | Sr. Staff Machine Learning Engineer; Zhenjie Zhang | Sr. Staff Machine Learning EngineerIntroductionSearch relevance measures how well search results align with a user’s search query. For personalized sear...
How Pinterest Built a Real‑Time Radar for Violative Content using AI
Faisal Farooq | Sr. Director Trust Engineering; Aravindh Manickavasagam | Staff Technical Program Manager; Attila Dobi | Sr. Staff Data ScientistPeople come to Pinterest to find ideas they feel good about. To keep that experience safe, we need to know not just what gets reported, but what people act...
Autonomous Observability at Pinterest (Part 1 of 2)
Marcel Mateos Salles | Software Engineer Intern; Jorge Chavez | Sr. Software Engineer; Khashayar Kamran | Software Engineer II; Andres Almeida | Software Engineer; Peter Kim | Manager II; Ajay Jha | Sr. ManagerAt Pinterest, inspiration isn’t just for our users — it shapes how we build and care for o...
Supercharging the ML and AI Development Experience at Netflix
Supercharging the ML and AI Development Experience at Netflix with MetaflowShashank Srikanth, Romain CledatMetaflow — a framework we started and open-sourced in 2019 — now powers a wide range of ML and AI systems across Netflix and at many other companies. It is well loved by users for helping them ...