A Decade of AI Platform at Pinterest Lessons on building platforms, driving adoption, and evolving foundations David Liu • Senior Director of Engineering, ML Platform AI at Pinterest has been a …

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Pinterest Engineering

Pinterest's ML Platform team shares a decade-long journey of building unified AI infrastructure, evolving from fragmented team-specific stacks to a cohesive platform serving hundreds of millions of inferences per second. The retrospective covers five distinct eras, highlighting how organizational alignment, executive sponsorship, and technical maturity must converge for platform adoption. Key lessons include the importance of bottom-up layered foundations, the temporary nature of any infrastructure solution, and how efficiency, velocity, and enablement multiply when modeling and platform teams work in tandem. The article details specific technical solutions like Linchpin DSL, Scorpion inference service, MLEnv standardization, GPU-accelerated serving, and the evolution toward foundation ranking models and generative AI.

A Decade of AI Platform at Pinterest

Individual Team Stacks (2014–2015) and Early Unification (2016–2017)

ML Platform’s Scrappy Era (2018–2019)

Broader Alignment and Standardization (2021–2022)

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