安全工程师，信任与安全 - 应用人工智能

Identify and solve ambiguous problems within a Trust & Safety domain where the solution and requirements are initially unknown, driving solutions that affect multiple teams

Architect Trust & Safety capabilities and evaluation infrastructure that set the standard across teams; drive platform-level decisions for AI-driven solutions at Meta's scale

Lead the strategy and methodology for the abuse problems AI cannot yet reason about: age-aware policy boundaries, adversaries who adapt to enforcement, abuse at campaign scale, and policy interpretation under pressure

Shape how Trust & Safety expertise translates into AI capability: define the methodologies that make model improvement systematic and scalable

Drive cross-organizational partnerships that define how Trust & Safety and AI intersect: influence technical direction beyond the immediate team

Break down problems into smaller scoped workstreams, owning the most technically complex pieces while enabling others to execute against the overall solution

Mentor other engineers across the organization, build community, and act as a role model for Trust & Safety engineering practices and Meta values

Disseminate findings through internal publications, knowledge sharing, and contributions to the broader community

B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience. OR PhD + 2 years of hands-on engineering experience

5+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations

Demonstrated depth in at least one abuse domain: child safety and youth protection, dangerous organizations and violent extremism, fraud and scams, coordinated inauthentic behavior and information operations, or content policy enforcement

Experience building detection, enforcement or evaluation systems in an abuse domain, in addition to operating or investigating within one

Experience analyzing and interpreting large-scale data, including relational databases and SQL, to identify patterns of adversarial behavior and quantify trends

Experience coding in at least one of the following or similar languages: PHP, Python, or Java

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience with campaign-level investigation and attribution of coordinated adversary networks

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

Experience adversarially testing conversational or agentic systems: jailbreaks, social engineering, prompt injection, policy-exception pressure

Experience authoring or interpreting enforcement guidelines at scale, including coded terminology and evolving slang

Experience with age assurance and age-signal inference, including calibrated confidence and mode switching

Contributions to the Trust & Safety or security community (original research, tools, conference presentations, publications)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience improving AI model performance through expert feedback, red-teaming, or evaluation design

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

When Facebook launched in 2004, it changed the way people connect.

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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B.S.

or M.S.

in Computer Science, Cybersecurity, or related field, or equivalent experience.

OR PhD + 2 years of hands-on engineering experience.

5+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations.