AI Cybersecurity Team Lead, DeepMind

Benefits

Parental leave

18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.

Non-birth-parent leave

18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$262K-$365K not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$93,011 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.1% - Faster than average

237% above the BLS role benchmark for marketing aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Cybersecurity Team Lead, DeepMind Mountain View, CA, USA; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. AI's cyberattack capability is increasing rapidly; recently, there have been a number of publicized zero-day exploits found with the help of AI in well-tested software. Our team's mission is to detect if users misuse an AI model for the purpose of a cyberattack, and on enabling the model to refuse gracefully in such cases. Given the dual use nature of AI tools, the goal of this project is to advance the model's ability to discern

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