Security Engineer - Applied AI

Responsibilities: Identify and solve ambiguous problems within a Security, Trust, or Safety domain where solution requirements are not fully defined, delivering outcomes that affect multiple teams Architect security systems and capabilities intended to set a standard across teams Drive platform-level decisions for AI-driven security solutions across Meta at large scale Lead the strategy and methodology for adversarial research, threat intelligence programs, detection systems, or investigation capabilities augmented by AI Define methodologies that make model improvement systematic and scalable, shaping how security expertise translates into AI capability Set and improve quality standards for security engineering practices and processes across teams Define processes and workflows that achieve scale and automation Build cross-organizational partnerships that define how security and AI intersect and influence technical direction beyond the immediate team Break complex initiatives into smaller workstreams, owning the most technically complex components while enabling others to execute Mentor engineers across the organization, build a community, and model security engineering practices aligned with 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

Requirements: B.S. or M.S.in Computer Science, Cybersecurity, or a related field, or equivalent experience 8+ yearsof hands‑on security engineering experience across one or more domains such as detection engineering, threat intelligence, incident response, cloud security, adversary simulation, offensive security, mobile/platform security, digital forensics, or trust and safety Deep expertise in attacker tactics, techniques, and procedures, with demonstrated ability to advance the state of the art Proficiency in coding, including experience withPythonorRust Experience 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 Ability to drive alignment and resolution across multiple teams and cross‑functional partners TechnologiesPython Rust

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

Compensation: USD 184,000 - 257,000 per year.

Minimum experience: 8 years.

Education: B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience.