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.

In this role, you will influence and help lead Google’s investment in security and privacy-preserving machine learning technologies and bring those capabilities to more people around the world by pursuing fundamental research that shapes the design of our systems. Our team's work spans the range from open academic collaboration to partnering with product teams to deliver impact via product launches. It therefore provides opportunities to collaborate with researchers inside Google and at universities on high impact research publications, create end-to-end systems solutions in production systems, and apply and grow leadership skills across Google.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $141,000-$202,000 + 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 personal agents that transform computing for people around the world by conducting research and innovating in privacy-preserving technologies and security protections for agentic systems.

• Collaborate closely with researchers and with the many partner and customer teams across Google.

• Author research papers to share and generate impact of research results across the team and in the research community.

• Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

Minimum qualifications

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

• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.) in the fields of security and privacy, systems, large language models (LLMs), or related areas.

Preferred qualifications

• 2 years of experience in coding.

• 1 year of experience owning and initiating research agendas.

• Experience in research comparable to a postdoc at the intersection of security and privacy, systems, large language models, or closely related areas.

• Experience in machine learning security and privacy as well as demonstrated interest and proficiency in the core concepts of privacy-preserving technologies (such as differential privacy or contextual integrity).