DevInfra 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.

DevInfra

ML Applications

DevInfra Articles

Related Tags

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

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

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

Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption