3 days ago
London, United KingdomSenior
Responsibilities
- Apply privacy and data protection expertise to complex problems involving data collection, use, retention, exposure, deletion, and jurisdictional obligations.
- Build privacy capabilities, tools, and evaluation environments, including AI-driven solutions for privacy problems at scale.
- Design and execute privacy obligation analyses, de-identification assessments, data lifecycle reviews, and data access reasoning.
- Identify gaps in AI models’ privacy reasoning and improve model performance through expert-generated signals, evaluations, and feedback.
- Collaborate with model researchers to translate privacy expertise into structured training challenges.
- Partner with legal, policy, product, and infrastructure teams to convert obligations into engineering requirements.
- Own complex privacy initiatives end to end and contribute to the team’s technical direction.
- 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.
- At least 5 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, data 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 qualifications include prompt or context engineering, agent orchestration, differential privacy, k-anonymity, pseudonymization lifecycle management, responsible AI, jurisdiction- or cohort-based obligations, AI model evaluation, ML and model privacy, privacy community contributions, and large-scale privacy review or incident response.
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.