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Research Engineer, Tech Lead Manager, Frontier and AGI Security, DeepMind

DeepMind

CAJob$207–300K/yrPosted 1w agoStill listed 4 days ago

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At a glance

Compensation
$207–300K/yr
Location
CA
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The role focuses on building solutions to protect against misuse of frontier AI models, combining cybersecurity, machine learning and reinforcement learning expertise. The engineer will develop research prototypes, robust infrastructure, and collaborate with safety and engineering teams to improve adversarial evaluation and defenses for Gemini.

Skills & qualifications

RequiredNice to have

Skills

Cyber SecurityVulnerability DiscoveryReverse EngineeringSoftware DevelopmentMachine LearningReinforcement LearningPeople ManagementResearchData MiningNatural Language Processing SystemsSoftware EngineeringCollaborationCybersecurityRed TeamingVulnerability IdentificationBlack-Box EvaluationAgentic Tools DevelopmentNatural Language ProcessingHardware Performance AnalysisSoftware Performance AnalysisCompiler Optimization

Qualifications

PhD Degree in Computer Science or Equivalent Practical Experience5 Years of Experience in Cybersecurity5 Years of Experience Developing Agentic Tools2 Years of Experience as a People Manager2 Years of Experience in Software Development or EngineeringTrack Record of Research or Engineering AchievementsPassion for AI Technology and All of Its PossibilitiesEnglish Proficiency

Full job description

Research Engineer, Tech Lead Manager, Frontier and AGI Security, DeepMind Share Research Engineer, Tech Lead Manager, Frontier and AGI Security, DeepMind

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corporate_fareDeepMindplaceSan Francisco, CA, USA; Mountain View, CA, USA; +2 more; +1 more

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info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.

  • 5 years of experience in cybersecurity (e.g., red teaming, vulnerability identification, reverse engineering, black-box evaluation, etc.).

  • 5 years of experience developing agentic tools.

  • 2 years of experience as a people manager.

Preferred qualifications:

  • 2 years of experience in software development or engineering.
  • Track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.
  • Passion for AI technology and all of its possibilities.

About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. In this role, you will build solutions that enable us to protect the world from misuse of the next generation of frontier models and help defend against emerging cyber security risks. Capable cybersecurity models, combined with a sophisticated harness, you will present ongoing challenges that require better defenses. You will apply engineering, ML, RL, and cybersecurity knowledge to make software more secure, building both research prototypes and robust, scalable infrastructure. You will be a member of the cyberattack safety team, which is currently developing defenses for preventing misuse of our models for cyberattack as well as contributing to increasing Gemini’s capabilities for cyber defense. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

  • Improve our adversarial evaluation (auto-red teaming) techniques.
  • Drive improvements for out-of-model defenses such as classifiers and introspection probes.
  • Collaborate with safety engineering to develop new capabilities based on adversarial research.
  • Contribute to increasing Gemini’s capabilities for cyber defense.
  • Gain an understanding of the path from research to production while working on real world problems. Your work will directly impact Gemini releases and users.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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