Research Engineer, Security and Privacy, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, C++ Programming Language, Cloud Computing, Computer Security, Data Mining, Data Science, Embedded Software, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, Financial Analysis, Genetics, Injections, Natural Language Processing (NLP), Operational Audit, Operations Management, Performance Analysis, Performance Management, Privacy Controls, Program Planning, Project/Program Management, Prototyping, Publications, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Sales, Security Architecture, Security Attacks, Software Engineering, Startup, Supply Chain Operations, Team Player, Technical Leadership, Technical Support, Telecommunications, Testing
LOCATION
Mountain View, CA
POSTED
17 days ago

Research Engineer, Security and Privacy, DeepMind - Google Careers

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Research Engineer, Security and Privacy, DeepMind

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in software engineering or a related technical field.
  • 2 years of experience in Security and Privacy.
  • Experience with Python or C++.

Preferred qualifications:

  • Master"s degree or PhD.
  • Research experience, authored publications in AI/ML.
  • 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.

The mission of the team is to build solutions for securing Gemini against prompt injections and other contextual security attacks, as well as, building out of model defenses against prompt injection attacks on AI agents. The latter includes classifiers as well as policy related solutions.

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 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 $174,000-$252,000 + 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

  • Develop security and privacy solutions for AI agents against prompt injections and other contextual security vulnerabilities, particularly, out-of-the-model solutions such as classifiers and policy engines.
  • Work with product teams to get their requirements and security policies in order to develop practical privacy and security solutions.

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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