Security Engineer - AI-Powered Vulnerability Automation

Meta; Dover (DE); On-site; EUR 164,000 - 228,000; Full time

Job summary

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

You will coordinate with security, infrastructure, and product engineering to implement time-locked mirrors and metadata services that enable safe automated upgrades, turning vulnerability management

Qualifications

• Bachelor's degree in Computer Science, Information Security, or related field.
• 5+ years of experience securing enterprise-scale infrastructure software and services.
• 3–5+ years programming experience in Python, PHP, Ruby, or similar languages.
• Experience remediating infrastructure security gaps using influence across boundaries.
• Experience with security control automation or compliance-as-code implementations.

Responsibilities

• Design and build AI-powered autonomous remediation pipelines that detect and patch third-party vulnerabilities across Meta's codebase.
• Develop ML-driven triage and contextualization agents (e.g., Viper Assist, FixieAI) that autonomously assess, prioritize, and suppress vulnerability tasks.
• Architect supply-chain defense systems, including time-locked package mirrors, quarantine mechanisms, and package decoration services for richer metadata.
• Drive cross-functional strategy across security, infrastructure, and product engineering teams, enabling scalable automation.
• Identify and solve ambiguous, open-ended problems while owning technically complex workstreams.

Skills

Python

Security engineering

ML/AI integration

Automation tooling

Vulnerability management

Education

Bachelor's degree in CS or related field

Tools

Job description

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

You will coordinate with security, infrastructure, and product engineering to implement time-locked mirrors and metadata services that enable safe automated upgrades, turning vulnerability management