Research Scientist, Evaluations, Security and Privacy, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Benchmarking, C++ Programming Language, Cloud Computing, Computer Science, Computer Security, Conferences, Data Mining, Deep Learning, Delivery Management, English Language, Equal Employment Opportunity (EEO), Federal Government, Field Sales, Genetics, Government, Injections, Japanese Language, Machine Learning, Market Research, Natural Language Processing (NLP), Network Architecture/Engineering, Operations Management, Operations Research, Optical Engineering, Optical Networking, Partner Sales, Performance Analysis, Performance Management, Privacy Controls, Process Improvement, Product/Service Launch, Program Planning, Project/Program Management, Prototyping, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Research Skills, Sales Management, Scientific Publications, Scientific Research, Security Architecture, Security Attacks, Software Development, Software Engineering, Startup, Supply Chain Management, Technical Leadership, Technical Support, Telecommunications, Time Management
LOCATION
Mountain View, CA
POSTED
30+ days ago

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Research Scientist, Evaluations, Security and Privacy, DeepMind

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corporate_fareDeepMindplaceMountain View, CA, USA; San Francisco, CA, USA

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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: Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with research agendas across multiple teams or projects.
  • 3 years of experience designing and implementing benchmarking frameworks for machine learning models.
  • 2 years of experience in security and privacy.
  • One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

  • 3 years of experience in software development or engineering.
  • 2 years of experience coding in C++ and Python.
  • Passion for AI technology and all of its possibilities.

About the job

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.

The mission of the team is to develop solutions to address contextual security and privacy challenges in Gemini as well as agentic products from Google. This is a research team that looks ahead at the upcoming security challenges, and solves them, going all the way to landing in Gemini or Google products.

Artificial intelligence will be one of humanitys most transformative inventions. At 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Drive research to safeguard Geminis flagship foundational models and agentic products against emerging vulnerabilities at a massive scale.
  • Design, prototype, and evaluate novel defense mechanisms to protect models and agents from adversarial attacks, prompt injections, and contextual security threats.
  • Translate theoretical research breakthroughs into practical, real-world security solutions for both training and inference pipelines.
  • Work closely with core modeling, engineering, and Trust and Safety teams to seamlessly integrate security innovations into Gemini"s infrastructure.
  • Stay ahead of the threat landscape by inventing next-generation security techniques specifically designed for autonomous and agentic AI systems.

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.

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