Privacy Engineer, Level 4

What you'll do

• Design and implement production privacy controls; lead privacy reviews, threat modeling, and risk assessments.
• Partner across engineering, product, legal, security, and data teams to translate privacy requirements into controls and drive remediation.
• Develop privacy-preserving advertising and measurement approaches, auditing practices, and technical solutions; evaluate ML privacy risks.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 2+ years of post-bachelor’s privacy, security, software engineering, or related experience; or a master’s degree in a technical field plus 1+ year of post-graduate experience; or a PhD in a relevant technical field.
• Expertise in one or more areas such as privacy engineering, privacy reviews, data governance, privacy-safe advertising or measurement, privacy-preserving machine learning, or security engineering.
• Experience with applied privacy techniques and knowledge of consent, preference, identity, and tracking technologies, including ATT and opt-out mechanisms.

Nice to have

• Experience securing or privacy-enabling complex distributed systems and production-scale infrastructure.
• Experience with privacy threat modeling, leakage or attack assessments, privacy-control validation, or privacy-preserving ML and embeddings.

Pay

$157,000-$235,000 annually (USD, base salary); $149,000-$223,000 annually (USD, base salary); $133,000-$200,000 annually (USD, base salary)

Tools

ATT

AI focus

Use AI tools to streamline development and audit generated output; evaluate privacy-preserving approaches and risks in machine-learning systems, including leakage, attacks, and embeddings.