Staff Privacy Engineer, AI/ML, Devices and Services
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience working in a privacy related field (e.g., security engineering, data engineering, data scientist, compliance engineering etc.).
- 2 years of experience driving initiatives and solutions for technological problems with company-wide impact, that maintain or elevate the privacy posture of the organization, and influencing executive decisions.
- 2 years of experience determining privacy technologies/frameworks to solve technical and operational problems, and customizing existing solutions and frameworks to support business objectives.
- Experience in ML privacy-preserving techniques (e.g., differential privacy, federated learning) and assessing ML risks.
Preferred qualifications:
- 3 years of experience leading the application of privacy technologies (e.g., differential privacy, automated access management solutions, etc.) to solve technical and data management problems, customizing existing solutions and frameworks to meet user needs.
- Experience in the development of ML models and applications.
- Knowledge of regulatory frameworks (e.g., GDPR, CCPA) and experience working with regulators or regulatory authorities.
- Knowledge of privacy principles, with a passion for keeping users and their data safe.
About the job
The Devices and Services Privacy team operates security, privacy, and safety programs to protect users, improve the security and privacy of Google devices (and related apps and services), and ensure users are confident that Google products are safe and trustworthy.
As a Staff Privacy Engineer, you will help drive privacy solutions into all products that fall under the Devices and Services portfolio. You will also work across product areas to manage privacy and data risks.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Responsibilities
- Lead the development and execution of technical privacy strategies and adoption of Privacy Enhancing Technology for AI and ML projects.
- Identify, assess, and develop mitigation strategies for privacy risks related to AI and ML features, models, and datasets.
- Guide and mentor team members and product leads on best practices in AI/ML privacy, cultivate relationships with partner teams to align priorities and technical contributions to support product teams.
- Provide knowledge in AI and Generative AI privacy risks and mitigation including privacy preserving techniques (e.g., differential privacy, federated learning).
- Develop and maintain privacy standards and frameworks that align with laws and regulations, external commitments, and customer expectations.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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