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Security Engineer, Trust & Safety - Applied AI

Meta· Technical Security
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Washington, DC$184k - $257kFull-timePosted 4d ago

About the role

Security Engineer role in Meta's Applied Artificial Intelligence (AAI) organization focusing on Trust & Safety across abuse domains, leveraging AI tools and domain expertise to shape AI capabilities and policy enforcement at scale.

Responsibilities

  • Identify and solve ambiguous problems within a Trust & Safety domain where the solution and requirements are initially unknown, driving solutions that affect multiple teams
  • Architect Trust & Safety capabilities and evaluation infrastructure that set the standard across teams; drive platform-level decisions for AI-driven solutions at Meta's scale
  • Lead the strategy and methodology for the abuse problems AI cannot yet reason about: age-aware policy boundaries, adversaries who adapt to enforcement, abuse at campaign scale, and policy interpretation under pressure
  • Shape how Trust & Safety expertise translates into AI capability: define the methodologies that make model improvement systematic and scalable
  • Drive cross-organizational partnerships that define how Trust & Safety 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 community, and act as a role model for Trust & Safety engineering practices and Meta values
  • Disseminate findings through internal publications, knowledge sharing, and contributions to the broader community

Qualifications

  • B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience
  • 8+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations
  • Deep expertise in at least one abuse domain with demonstrated ability to advance the state of the art: child safety and youth protection, dangerous organizations and violent extremism, fraud and scams, coordinated inauthentic behavior and information operations, or content policy enforcement
  • Experience building detection, enforcement or evaluation systems in an abuse domain, in addition to operating or investigating within one
  • Experience analyzing and interpreting large scale data, including relational databases and SQL, to identify patterns of adversarial behavior and quantify trends
  • Experience coding in at least one of the following or similar languages: PHP, Python, or Java
  • Track record of architecting 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

Skills

Required:Problem solving in ambiguous domainsAI-enabled safety evaluationPolicy interpretation under pressure

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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