AI-Driven Security Engineer (Applied AI)

Meta Careers; City of Westminster; On-site; GBP 90,000 - 140,000; Full time

Job summary

Meta is seeking Security Engineers to join the Applied AI Intelligence (AAI) organization. The role blends deep security expertise with frontier AI, building novel security capabilities and AI-powered defenses at Meta scale.

Responsibilities include designing adversary research, threat analysis, detection engineering, and translating security expertise into scalable, production AI systems. Collaboration across engineering, product, and research is essential.

Qualifications

• B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience.
• 5+ years of hands-on security engineering experience in one or more domains.
• Proficiency in Python, Go, C/C++, or shell scripting.
• Experience building security systems, tools, or capabilities.
• Demonstrated ability to operate independently on complex security challenges.

Responsibilities

• Apply deep security domain expertise to identify and solve complex problems requiring multi-step reasoning.
• Build security products and AI-driven tools to address real-world security challenges at scale.
• Design and execute adversary research, threat analysis, and detection engineering augmented by AI.
• Collaborate with model researchers to translate security expertise into training signals.

Skills

Security engineering

Python

Go

C/C++

Shell scripting

Threat intelligence

Education

B.S./M.S. in Computer Science or Cybersecurity

PhD + 2 years security experience

Tools

AWS

GCP

Azure

AI/ML tooling for security

Job description

Meta is seeking Security Engineers to join the Applied AI Intelligence (AAI) organization. The role blends deep security expertise with frontier AI, building novel security capabilities and AI-powered defenses at Meta scale.

Responsibilities include designing adversary research, threat analysis, detection engineering, and translating security expertise into scalable, production AI systems. Collaboration across engineering, product, and research is essential.