Research Engineering Manager, Gemini Security & Privacy, LDN/NYC

Google

New York, NY

Full Time

Senior

about 1 month ago

Job Description

About the Role

At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, focusing on security and privacy in models like Gemini to handle sensitive user data and permissions.

Key Responsibilities

Identifying unsolved, impactful privacy & security problems present in generative models through auto-red teaming, with priorities guided by frontier agentic capabilities being developed in Gemini and other GenAI models.
Building post-training data and tools hypothesised to improve model capabilities in the problem areas, testing the hypotheses through evaluations and auto-red teaming, and contributing successful solutions into Gemini and other models.
Amplifying the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education.

Requirements

B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.
Experience with JAX, PyTorch, or similar machine learning platforms (advantage).
Demonstrated experience in Python through building readable, scalable, reusable ML software.
Experience in adapting research outputs into impactful model improvements in a rapidly shifting landscape.
Research experience and publications in ML security, privacy, safety, or alignment.

Nice to Have

Experience with JAX, PyTorch, or similar machine learning platforms.
Demonstrated experience in Python through strong artifacts in building readable, scalable, reusable ML software.
Research experience and publications in ML security, privacy, safety, or alignment.

Working at Google

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

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