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Security Engineer - Applied AI

Raleigh, NC, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

Meta is seeking Security Engineers to join our Applied Artificial Intelligence (AAI) organization. As a Security Engineer in AAI, you will apply deep domain expertise to solve hard, real-world security problems, building novel security capabilities, prototyping AI-powered defenses, and advancing the frontier of what AI systems can do in Security, Trust, and Safety. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement.You will blend hands-on security engineering with applied research: designing and executing novel approaches to security challenges that push both the state of Meta's security posture and the state of the art in AI-driven security. This includes building security products and tools, conducting original adversary research, developing detection and response capabilities, and translating security expertise into scalable, AI-native systems. Your domain knowledge - whether in detection engineering, threat intelligence and adversarial analysis, cloud security, adversary simulation, mobile and platform security, forensic investigation, or emerging areas like AI/ML security - becomes the foundation for capabilities no existing AI system can replicate.This role is for experienced security practitioners who want to operate at the intersection of deep security expertise and frontier AI - not just using AI as a tool, but shaping what it becomes.

Required Skills:

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:

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 (e.g., prompt/context engineering, 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 (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with forensic investigation - reconstructing attack timelines from evidence across multiple sources
Experience in hands on investigations across the Trust & Safety domain
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Contributions to the security community (original research, tools, conference presentations, publications)
Experience in creating structured methodologies that scale security expertise across teams
Experience in planning and executing adversary simulation campaigns or purple team exercises at scale

Public Compensation:

$184,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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