Privacy Security Engineer, Applied AI & Data Protection

Meta; Washington (District of Columbia); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta is seeking Security Engineers with privacy and data protection expertise to join our Applied Artificial Intelligence organization. You will apply deep privacy engineering expertise to hard, real-world problems in how systems collect, use, retain, expose, and delete data.

Your work is AI-augmented from day one, leveraging AI tools and agents to accelerate impact and shaping what privacy engineering can become within frontier AI.

Qualifications

• B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience.
• Deep expertise in at least one privacy subdomain with ability to advance the state of the art.
• Experience implementing privacy obligations in production systems.
• Software engineering proficiency, including code review and maintenance, with experience coding in Python, PHP, Java, C/C++, or an equivalent language.
• 5+ years of hands-on engineering experience in technical privacy, data protection, or privacy-adjacent security engineering.

Responsibilities

• Apply deep privacy and data protection expertise to identify, scope, and solve complex problems that require multi-step reasoning, novel approaches, and expert judgment.
• Build privacy capabilities, tools, and evaluation environments, prototyping AI-driven solutions to real-world privacy problems at Meta's scale.
• Design and execute privacy obligation analysis, de-identification assessment, data lifecycle review, or data access reasoning augmented by AI tools and agents.
• Identify where AI models lack privacy reasoning capability and directly contribute to improving them through expert-generated signals, evaluation, and feedback.
• Collaborate with model researchers to translate privacy expertise into training signals, decomposing hard problems into structured challenges that teach models to reason like privacy engineers.
• Partner with legal, policy, product, and infrastructure teams to translate obligations into engineering requirements.
• Own complex privacy initiatives end to end, from problem definition through delivery, and contribute to technical direction within the team.
• Disseminate findings through internal publications, knowledge sharing, and contributions to the broader privacy and security community.

Skills

Privacy engineering

Python

Java

C/C++

Engineering leadership

Education

B.S./M.S. in CS or related

Tools

Git

CI/CD

Cloud platforms

Job description

Meta is seeking Security Engineers with privacy and data protection expertise to join our Applied Artificial Intelligence organization. You will apply deep privacy engineering expertise to hard, real-world problems in how systems collect, use, retain, expose, and delete data.

Your work is AI-augmented from day one, leveraging AI tools and agents to accelerate impact and shaping what privacy engineering can become within frontier AI.