GoogleEmployer profile

Privacy Engineer III, Machine Learning

Location not specified · 2–83.3 yrs

Experience: 2–83.3 yrs
Salary: Not disclosed
Location: Location not specified
Work mode: Not specified
Job type: Full-time
Apply by: Closing date not listed
Posted: 11 Jan 37

About this role

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience designing solutions that maintain or enhance the privacy posture of the organization by analyzing and assessing proposed engineering designs (e.g., product features, infrastructure systems) and influencing stakeholders.
2 years of experience applying privacy technologies (e.g., differential privacy, automated access management solutions, etc.), and customizing existing solutions and frameworks to meet organizational needs.

Preferred qualifications:

Experience managing multiple high priority requests, while determining resource allocation (e.g., time, prioritization) to solve the problems in a fast-paced, changing organization.
Experience in development of Machine Learning (ML) models and applications.
Knowledge of common regulatory frameworks (e.g., GDPR, CCPA).
Understanding of privacy principles, and a passion for keeping people and their data safe.

About The Job

The Governance team manages risk and compliance objectives, specifically risks about data, products, and software systems within Google. Our aim is to ensure that systems, products, and data are managed responsibly to keep our users, employees, and partners safe.

Google's innovations in AI, especially Generative AI, have created a new and exciting domain with immense potential. As innovation moves forward, Google and the broader industry need increased privacy, safety, and security standards for building and deploying AI responsibly.

To help meet this need, the Generative AI Assessments team's mission is to build up Google's assessment capabilities for generative AI applications.

Responsibilities

Conduct privacy impact assessments and drive privacy outcomes for artificial intelligence datasets, models, products, and features.
Escalate critical and novel artificial intelligence risks to central and product leadership forums, as needed.
Design and develop technical documentation across teams to drive consistent privacy decisions within the artificial intelligence domain.
Work with internal tools and systems for understanding and assessing machine learning data and model lineage, properties, and risks.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills

Information Technology and Engineering