2 days ago
London, United KingdomSenior
Responsibilities
- Solve ambiguous privacy and data protection problems affecting multiple teams.
- Architect privacy capabilities and evaluation infrastructure for AI-driven privacy solutions at scale.
- Lead strategy and methodology for jurisdictional obligations, de-identification, data lifecycle controls, and data access reasoning.
- Define systematic methods for translating privacy expertise into AI capabilities and model improvement.
- Influence technical direction through cross-organizational partnerships spanning privacy and AI.
- Break complex problems into work streams while owning the most technically challenging components.
- Mentor engineers, build a privacy engineering community, and model Meta values.
- Share findings through internal publications, knowledge sharing, and contributions to the privacy and security community.
Requirements
- B.S. or M.S. in Computer Science, Cybersecurity, or a 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 domain, such as purpose limitation, retention and deletion, access control, jurisdictional obligations, de-identification, consent, or ML and model privacy.
- Experience implementing privacy obligations in production systems, beyond reviewing or advising on them.
- Software engineering proficiency, including code review and maintenance, with experience in Python, PHP, Java, C/C++, or an equivalent language.
- Experience architecting privacy systems, controls, or programs that operate at scale and influence how others build.
- Ability to define and drive complex, ambiguous problem spaces with group-level impact.
- Preferred experience with responsible and ethical AI practices, AI model evaluation, expert feedback, red teaming, pseudonymization lifecycle, AI workflow optimization, prompt/context engineering, agent orchestration, jurisdiction- or cohort-conditioned obligations, privacy or security community contributions, formal de-identification techniques, privacy review or incident response, and ML/model privacy.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.