Security Engineer - Applied AI

Responsibilities

• Identify and solve ambiguous problems within a Security, Trust, or Safety domain where the solution and requirements are initially unknown, driving solutions that affect multiple teams
• Architect security systems and capabilities that set the standard across teams; drive platform-level decisions for AI-driven security solutions at Meta's scale
• Lead the strategy and methodology for adversarial research, threat intelligence programs, detection systems, or investigation capabilities augmented by AI
• Shape how security expertise translates into AI capability: define the methodologies that make model improvement systematic and scalable
• Set and improve quality standards for security engineering practices and processes across teams; define processes and workflows that achieve scale and automation
• Drive cross-organizational partnerships that define how security and AI intersect: influence technical direction beyond the immediate team
• Break down problems into smaller, scoped workstreams, owning the most technically complex pieces while enabling others to execute against the overall solution
• Mentor other engineers across the organization, build a community, and act as a role model for security engineering practices and Meta values
• Drive team-wide adoption of practices and standards; proactively communicate updates to leadership audiences
• Disseminate findings through internal publications, knowledge sharing, and contributions to the broader security community

Minimum Qualifications

• B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience
• 8+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence, incident response, cloud security, adversary simulation, offensive security, mobile/platform security, digital forensics, trust and safety
• Deep expertise in attacker tactics, techniques, and procedures with demonstrated ability to advance the state of the art
• Proficiency in coding with experience in languages such as Python or Rust
• Track record of architecting security systems or programs that operate at scale and influence how others build
• Demonstrated ability to define and drive complex, ambiguous problem spaces with group-level impact
• Experience in driving alignment and resolution across multiple teams and cross-functional partners

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Contributions to the security community (original research, tools, conference presentations, publications)
• Experience improving AI model performance through expert feedback, red teaming, or evaluation design
• Experience with cloud security operations, cloud detection and response, or cloud-native defense
• Experience in hands on investigations across the Trust & Safety domain
• Experience with forensic investigation — reconstructing attack timelines from evidence across multiple sources
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in planning and executing adversary simulation campaigns or purple team exercises at scale
• Experience leveraging AI tools to accelerate security workflows and enhance operational capability
• Experience in creating structured methodologies that scale security expertise across teams
• Background in supply chain security, mobile platform security, network protocol security, or AI/ML security

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