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Job Type
Full Time
Job Details
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.
- 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 end-to-end development of 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.
- 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.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more