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Privacy Security Engineer, Privacy & Data Protection - Applied AI

Meta· Artificial Intelligence
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Menlo Park, CA$184k - $257kFull-timePosted 4d ago

About the role

Security Engineer role focused on privacy and data protection within Meta's Applied AI organization, leveraging AI tools to address complex privacy problems at scale and shaping AI capabilities to meet privacy obligations.

Responsibilities

  • Identify and solve ambiguous problems within the privacy and data protection space where the solution and requirements are initially unknown, driving solutions that affect multiple teams
  • Architect privacy capabilities and evaluation infrastructure that sets the standard across teams; drive platform-level decisions for AI-driven privacy solutions at Meta's scale
  • Lead the strategy and methodology for the privacy problems AI cannot yet reason about: jurisdictional and regulatory obligations, de-identification standards, data lifecycle controls, and data access reasoning
  • Shape how privacy expertise translates into AI capabilities: define the methodologies that make model improvement systematic and scalable
  • Drive cross-organizational partnerships that define how privacy and AI intersect: influence technical direction beyond the immediate team
  • Break down problems into smaller scoped work streams, 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 privacy engineering practices and Meta values
  • Disseminate findings through internal publications, knowledge sharing, and contributions to the broader privacy and security 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 technical privacy, data protection, or privacy-adjacent security engineering
  • Deep expertise in at least one privacy subdomain with demonstrated ability to advance the state of the art: purpose limitation, retention and deletion, data access control, jurisdictional obligations, de-identification, consent, or ML and model privacy
  • Experience implementing privacy obligations in production systems, in addition to reviewing or advising on them
  • Software engineering proficiency, including code review and maintenance, with experience coding in Python, PHP, Java, C/C++, or an equivalent language
  • Track record of architecting privacy systems, controls 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:Privacy engineeringProduction privacy implementationSoftware development

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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