Privacy security engineer in London

Описание:Meta is seeking Security Engineers with Privacy and Data protection expertise to join our Applied Artificial Intelligence (AAI) organization. You will apply deep privacy engineering expertise to hard, real-world problems in how systems collect, use, retain, expose, and delete data. Your work is AI-augmented from day one: you leverage AI tools and agents to accelerate your impact, and where the models fall short, your expertise directly drives their improvement.Задачи: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 teamsArchitect privacy capabilities and evaluation infrastructure that sets the standard across teamsDrive platform-level decisions for AI-driven privacy solutions at Meta's scaleLead 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 reasoningShape how privacy expertise translates into AI capabilities: define the methodologies that make model improvement systematic and scalableDrive cross-organizational partnerships that define how privacy and AI intersect: influence technical direction beyond the immediate teamBreak down problems into smaller scoped work streams, owning the most technically complex pieces while enabling others to execute against the overall solutionMentor other engineers across the organization, build a community, and act as a role model for privacy engineering practices and Meta valuesDisseminate findings through internal publications, knowledge sharing, and contributions to the broader privacy and security communityТребования:B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience8+ years of hands-on engineering experience in technical privacy, data protection, or privacy-adjacent security engineeringDeep 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 privacyExperience implementing privacy obligations in production systems, in addition to reviewing or advising on themSoftware engineering proficiency, including code review and maintenance, with experience coding in Python, PHP, Java, C/C++, or an equivalent languageTrack record of architecting privacy systems, controls or programs that operate at scale and influence how others buildDemonstrated ability to define and drive complex, ambiguous problem spaces with group-level impactБудет плюсом: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews); Experience improving AI model performance through expert feedback, red teaming, or evaluation design; Experience with pseudonymization lifecycle, including deletion of the user-to-pseudonym mapping; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements); Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies; Experience implementing obligations conditioned on jurisdiction, age band, or cohort: regional carve-outs, regulatory deadlines, minor and parent-initiated request handling; Contributions to the privacy or security community (original research, tools, conference presentations, publications); Experience applying differential privacy, k-anonymity, or other formal de-identification techniques in production rather than in research only; Experience with privacy review or privacy incident response at scale; Background in ML and model privacy: memorization, membership inference, training-data extractability, disclosure through model outputsУсловия:Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.
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