隐私安全工程师，隐私与数据保护 - 应用人工智能

Meta（Meta Platforms）岗位：Privacy Security Engineer, Privacy & Data Protection - Applied AI 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

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

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

Background in ML and model privacy: memorization, membership inference, training-data extractability, disclosure through model outputs

Meta builds technologies that help people connect, find communities, and grow businesses.

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Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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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.

Learn more about benefits at Meta.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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You may view our Equal Employment Opportunity notice here.

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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.