Privacy Security Engineer, Privacy & Data Protection - Applied AI

What you'll do

• Analyze and address complex privacy obligations, including data lifecycle, de-identification, and access decisions, using AI tools and agents.
• Build privacy capabilities and evaluation environments, and provide expert feedback to improve AI models’ privacy reasoning.
• Partner across legal, policy, product, infrastructure, and research teams to turn obligations into engineering requirements and deliver privacy initiatives.

What they ask for

• B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience.
• Deep expertise in at least one privacy subdomain and experience implementing privacy obligations in production systems.
• Software engineering proficiency, including code review and maintenance, in Python, PHP, Java, C/C++, or an equivalent language.
• Experience architecting privacy systems, controls, or programs at scale and driving complex, ambiguous problems.

Nice to have

• Production experience with formal de-identification techniques, pseudonymization lifecycle, or jurisdiction-, age-, or cohort-conditioned obligations.
• Experience improving AI models through expert feedback, red teaming, or evaluation design; privacy/security community contributions are also noted.

Pay

$154,000/year to $217,000/year USD base salary + bonus + equity

Tools

Python, PHP, Java, C/C++

AI focus

Uses AI tools and agents to augment privacy engineering; builds AI-driven privacy solutions and evaluations, provides expert feedback and training signals to improve models’ privacy reasoning, and applies responsible AI practices.