Privacy Engineering Lead, Generative AI Privacy & Security

DeepMind

1 month ago

4.2 on Glassdoor

Mountain View, CA

Hybrid

Full Time

Senior

1 applicant

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About this role

A Privacy Engineering Leader on DeepMind’s Gemini team will drive the design and implementation of privacy-preserving approaches for generative AI models and systems. The role focuses on shaping technical privacy standards, translating regulatory and policy input into engineering principles, and influencing cross-organizational AI privacy strategy across Google DeepMind and Google.

Skills

Qualifications

Bachelor's Degree in Computer Science or relatedMaster's Degree (preferred)PhD (preferred)

About DeepMind

deepmind.google

Google DeepMind is an AI research lab within Alphabet focused on solving intelligence and building safe, general-purpose artificial intelligence to advance science and benefit humanity. It develops cutting-edge machine learning methods—especially deep learning, reinforcement learning and neuroscience-inspired models—and has produced landmark systems such as AlphaGo, AlphaZero and AlphaFold. DeepMind partners with academia, healthcare providers and other Google teams to apply AI to scientific discovery, medicine, energy efficiency and real-world problems. The organization emphasizes safety, interpretability and responsible deployment alongside publishing research and tools for the wider community.