AI-Driven Vulnerability Management Engineer

Meta; Santa Fe (NM); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking a Security Engineer for the Scaling – Vulnerability Management team to build ML-based systems that automate how vulnerabilities are identified, triaged, and remediated across Meta's codebase. You will design autonomous remediation pipelines and AI agents that surface real risk and patch issues at scale.

You will also help strengthen supply-chain defenses, such as time-locked mirrors and enhanced metadata services, enabling safer automated upgrades and proactive defense against

Qualifications

• Bachelor's degree in Computer Science, Information Security, or relevant field (or equivalent experience)
• 5+ years work experience securing enterprise-scale infrastructure software and services
• 3-5+ years programming experience with at least one of the following languages: Python, PHP, Ruby, or similar scripting languages
• Experience remediating infrastructure security gaps across broad corporate boundaries using influence and relationships
• Experience with security control automation/monitoring or “compliance as code” implementations
• Experience thinking critically and defending solutions with communication skills in a cross-functional setting to influence decision makers across all levels of technical background
• Experience identifying, triaging, and remediating software security vulnerabilities - including third-party/open-source dependency vulnerabilities across a large-scale codebase

Responsibilities

• Design and build AI-powered autonomous remediation pipelines that detect and patch third-party library vulnerabilities across Meta's codebase, scaling from thousands to hundreds of thousands of packages.
• Develop ML-driven triage and contextualization agents that autonomously assess, prioritize, and suppress vulnerability tasks with high precision.
• Architect supply-chain defense systems, including time-locked package mirrors, quarantine mechanisms, and package decoration services for safer automated upgrades.
• Drive cross-functional strategy across security, infrastructure, and product engineering teams to enable scaled automation.
• Identify and solve ambiguous, open-ended problems where the solution is not initially known.

Skills

AI automation

ML tools

Cross-functional collaboration

Education

Bachelor's degree or equivalent experience

Tools

Python

PHP

Ruby

Job description

Meta is seeking a Security Engineer for the Scaling – Vulnerability Management team to build ML-based systems that automate how vulnerabilities are identified, triaged, and remediated across Meta's codebase. You will design autonomous remediation pipelines and AI agents that surface real risk and patch issues at scale.

You will also help strengthen supply-chain defenses, such as time-locked mirrors and enhanced metadata services, enabling safer automated upgrades and proactive defense against