隐私工程师，红队

Design and execute adversarial privacy assessments across Meta's products and infrastructure, simulating real-world threat scenarios to identify data exposure, unauthorized access, and privacy control failures

Develop and maintain a red team methodology and testing framework specific to privacy risks, including data minimization failures, consent bypass, re-identification attacks, and cross-context data leakage

Identify systemic privacy vulnerabilities across multiple product surfaces and drive remediation through cross-functional partnerships with engineering, product, legal, and policy teams

Define and improve privacy red team processes, tooling, and workflows that enable scalable, repeatable adversarial testing across Meta's evolving product portfolio

Translate complex privacy attack findings into actionable risk assessments and communicate them clearly to both technical engineering teams and non-technical leadership audiences

Partner with privacy engineering, security, and compliance teams to align red team findings with regulatory obligations and internal privacy standards

Drive the long-term strategy and roadmap for privacy red team operations, identifying emerging threat vectors and influencing organizational priorities accordingly

Mentor other engineers on adversarial privacy testing techniques, fostering a culture of proactive privacy risk identification across the broader engineering organization

Lead coordinated responses to large-scale privacy risk escalations, managing cross-functional mitigation efforts and tracking resolution across multiple teams

Identify gaps in existing privacy controls, detection capabilities, and engineering processes, and drive technical solutions to close those gaps at scale

8+ years of experience in privacy engineering, security engineering, or a related field with a focus on adversarial testing, vulnerability research, or privacy risk assessment

Experience designing and executing privacy or security red team assessments, including threat modeling, attack simulation, and control validation across large-scale consumer products

Experience identifying and exploiting privacy vulnerabilities such as re-identification risks, data minimization failures, unauthorized data access patterns, or consent and purpose limitation bypass

Experience communicating technical privacy risk findings in written form to both engineering teams and non-technical leadership stakeholders

Experience driving cross-functional remediation efforts and influencing engineering and product decisions through privacy risk analysis

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience developing automated tooling or testing pipelines to scale privacy red team assessments across large, distributed codebases

Track record of defining and operationalizing privacy red team programs from early-stage development through organizational adoption

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 with data flow analysis, traffic inspection, or reverse engineering techniques applied to privacy control validation

Familiarity with global privacy regulations and frameworks such as GDPR, CCPA, or ISO 29134, and experience applying them in an adversarial or audit context

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.

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8+ years of experience in privacy engineering, security engineering, or a related field with a focus on adversarial testing, vulnerability research, or privacy risk assessment.