Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Meta's Privacy Engineering team is seeking a Privacy Engineer with an adversarial mindset to identify, scope, contain, and eradicate real-world privacy threats to products and infrastructure. Your primary responsibility will be to address privacy vulnerabilities by designing solutions and guiding Software Engineers through remediations. You will learn from security and privacy incidents, identify vulnerabilities across Meta's codebase at scale, and build AI agents and pipelines to help discover, prevent, and remediate privacy issues. Your work will support security initiatives that protect the privacy and security of billions of people, advancing Meta’s mission of making the world more open and connected.

Key responsibilities include incident triage and fact identification by involving the right teams to understand and assess impact, mitigating and remediating vulnerabilities, documenting root causes and contributing factors, and ensuring Meta learns from each incident to prevent recurrence. You will apply technical expertise to proactively identify vulnerabilities across Meta's products and integrate AI tools to optimize workflows and drive measurable impact.

Experience
- 2+ years in technical privacy, security, or security software engineering domains, including incident response, application privacy/security, and/or offensive security
- Experience identifying, analyzing, and remediating real-world privacy and security threats
- Software engineering proficiency with 1+ years coding experience in Python, PHP, Java, C/C++ or equivalent, including code maintenance and review
- Experience managing large-scale incidents with broad public visibility
- Experience adhering to and implementing responsible, ethical AI practices such as risk assessment, bias mitigation, and quality reviews
- Experience communicating technical issues and implications within a corporate environment
- Demonstrated ability to integrate AI tools to optimize workflows and improve quality and efficiency
- Technical experience in other Privacy or Security disciplines, e.g., Application Security/Privacy
- Demonstrated ongoing AI skill development including prompt/context engineering and agent orchestration
- Contributions to the privacy or security community through public research, blogging, or presentations

About you
Detail-oriented and proactive with an adversarial mindset to identify and neutralize privacy threats. Strong collaborator able to work across teams and communicate complex technical issues clearly. Passionate about privacy, security, and ethical AI practices. Motivated to learn and stay current with emerging AI technologies and security trends.

Qualifications
B.S. or M.S. in Computer Science or a related field, or equivalent work experience.