Google DeepMind · 6 hours ago
Research Scientist Tech Lead, Contextual Security
San Francisco Bay Area
Full-time
Hybrid
Senior Level, Lead/Staff
$248K/yr - $349K/yr
5+ years expGoogle DeepMind is a team of scientists and engineers dedicated to advancing artificial intelligence for public benefit. The role of Research Scientist Tech Lead in Contextual Security involves leading a team to tackle challenges in contextual security, managing research projects, and developing solutions for generative models.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Lead the existing team to address key challenges in contextual security with connections to prompt injection, from leading the fundamental research to providing out the solutions for key products
Manage a team of researchers with extensive background in security and machine learning, as well as grow the team to keep up with the rapid evolving space of contextual security problems
Identifying unsolved, impactful privacy & security problems present in generative models through auto-red teaming, with priorities guided by securing critical products and product features
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
Qualification
Required
PhD in Computer Science or related quantitative field OR 5+ years of relevant experience
Demonstrated experience driving complex research projects in AI security, security, privacy or safety
Experience managing teams of 5-10 individual contributors
Preferred
Demonstrated experience driving complex projects to landing in production or adoption in open source
Demonstrated experience in adapting research outputs into impactful model improvements, in a rapidly shifting landscape and with a strong sense of ownership
Research experience and publications in ML security, privacy, safety, or alignment
Experience working on contextual security or prompt injection
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-25
2026-01-23
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