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Privacy Security Engineer, Privacy & Data Protection - Applied AI

Meta· Engineering
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Hybrid (London, UK)Full-timePosted 4d ago

About the role

Security engineer role focusing on privacy and data protection within Meta's Applied AI organization. Apply deep privacy expertise to complex, AI-augmented problems around data collection, usage, retention, exposure, and deletion, shaping AI capabilities to reason about privacy obligations at scale.

Responsibilities

  • Apply deep privacy and data protection expertise to identify, scope, and solve complex problems that require multi-step reasoning, novel approaches, and expert judgment
  • Build privacy capabilities, tools, and evaluation environments, prototyping AI-driven solutions to real-world privacy problems at Meta's scale
  • Design and execute privacy obligation analysis, de-identification assessment, data lifecycle review, or data access reasoning augmented by AI tools and agents
  • Identify where AI models lack privacy reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback
  • Collaborate with model researchers to translate privacy expertise into training signals, decomposing hard problems into structured challenges that teach models to reason like privacy engineers
  • Partner with legal, policy, product, and infrastructure teams to translate obligations into engineering requirements
  • Own complex privacy initiatives end to end, from problem definition through delivery, and contribute to technical direction within the team
  • 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
  • 5+ 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 and data protection expertiseProduction privacy engineeringProgrammingCross-functional collaboration
Nice to have:AI tooling and augmentation
Last updated Oct 23, 2026. Interested? Apply on the company site.

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