Security Engineer, Trust & Safety - Applied AI

Summary:

Meta is seeking Security Engineers with Trust & Safety expertise to join our Applied Artificial Intelligence (AAI) organization. You will apply deep domain expertise in online abuse and adversarial behavior, across areas such as child safety, human exploitation, fraud and scams, violent extremism, and coordinated inauthentic behavior, to advance what AI systems can do in Trust & Safety. 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.The problems here are the ones where abuse comes from behavior, context, and scale rather than a software defect: a model that overtrusts an asserted authorization, an agent pressured into a policy exception, a campaign in which every artifact looks benign on its own. Models recognize public benchmarks far more readily than internal ones, so building evaluations that hold up is part of the engineering process.This role is for Trust & Safety practitioners who want to operate at the intersection of deep domain expertise and frontier AI, not just applying AI to protect from and prevent adversarial behavior, but shaping what it is capable of.

Required Skills:

Security Engineer, Trust & Safety - Applied AI Responsibilities:

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

2. Architect Trust & Safety capabilities and evaluation infrastructure that set the standard across teams

3. drive platform-level decisions for AI-driven solutions at Meta's scale

4. 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

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

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

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

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

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

Minimum Qualifications:

Minimum Qualifications:

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

2. 5+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations

3. 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

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

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

6. Experience investigating and acting on high-impact threats and online threat actors

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

Preferred Qualifications:

Preferred Qualifications:

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

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

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

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

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

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

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

8. Experience developing and evaluating classifiers for abuse, fraud, or policy enforcement

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

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

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].