A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.
Responsibilities
Coordinate and drive resolution on a range of incidents
Analyze root causes, trends, and systematic issues
Improve the security and privacy of Google’s products and services
Develop excellence in Incident Management through tools and infrastructure, and preparing teams across Google through exercises and training
Manage relationships across the company including Legal, Engineering, Communications, etc.
Lead design, implementation, and continuous maturity of security and privacy compliance architecture across multi-cloud environments and regulatory frameworks.
Compensation
$196,000—$245,000 USD
Responsibilities
Lead the design, implementation, and continuous maturity of security and privacy compliance architecture across multi-cloud environments subject to SOC 2, C5, GDPR, ISO 27701, FedRAMP High, and DoD IL5
Lead and approve cross-border transfer and data residency design patterns, operationalizing unified privacy control catalogs (NIST, ISO 27701) into actionable engineering specifications
Facilitate end-to-end privacy and data security risk evaluations (DPIAs, PIAs, PTAs) and serve as the primary technical liaison to Privacy Legal for post-incident remediation and corrective actions
Evaluate corporate and product-embedded AI/ML integrations against emerging frameworks (e.g., ISO 42001, NIST AI RMF), validating technical safeguards and model controls
Serve as the Principal Compliance Architect SME for all privacy compliance initiatives supporting 3PAOs, external regulatory auditors, enterprise customers, and internal engineering teams
Requirements
Nice to have: AI technologies
Nice to have: AI/ML platforms
Nice to have: automated solutions for continuous control monitoring
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