Meta Articles

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments. This post covers how to optimize the low-level infrastructure that makes those models run [...] Read More... The post KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure appeared first on Engineering at Meta.

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Meta Articles

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads

AI for American-Produced Cement and Concrete

Friend Bubbles: Enhancing Social Discovery on Facebook Reels

Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation

Patch Me If You Can: AI Codemods for Secure-by-Default Android Apps

How Advanced Browsing Protection Works in Messenger

FFmpeg at Meta: Media Processing at Scale

Investing in Infrastructure: Meta’s Renewed Commitment to jemalloc

RCCLX: Innovating GPU communications on AMD platforms

The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It

Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters