Research Scientist, AI Secure Code, DeepMind

Google Inc.; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google DeepMind is seeking a Research Scientist for AI Secure Code to advance vulnerability research and build scalable infrastructure for CodeMender's security tools. You will work across CodeMender's models and deploy to Google's developer workflows.

You'll contribute to cutting-edge AI safety and security research, publish results, and collaborate with cross‑functional teams to deliver impactful solutions for billions of users.

Qualifications

• PhD required or equivalent practical experience.
• Strong publication record in AI conferences.
• Experience building infrastructure or ML-based applications.

Responsibilities

• Contribute to GDM's Cyber Strike initiative, collaborating across organizations to build high-quality cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
• Design, implement, and maintain scalable software infrastructure for CodeMender’s vulnerability detection and remediation services.
• Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.
• Optimize system performance, latency, and resource utilization for serving large models.
• Collaborate with product and platform teams to gather requirements and deploy research-based solutions into Google's developer tools and workflows.

Skills

Vulnerability research

ML tooling experience

Publications in AI conferences

Education

PhD in Computer Science or related field

Bachelor's or Master's in CS

Tools

Infrastructure tooling

Developer tools

Job description

Research Scientist, AI Secure Code, DeepMind

DeepMind Mountain View, CA, USA ; San Francisco, CA, USA

X Applicants 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.

• PhD degree in Computer Science or Computer Engineering, similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology) or equivalent practical experience.
• Experience with vulnerability research (e.g., auditing, reverse engineering, exploitation).
• Experience building infrastructure, developer tools, or ML-based applications.
• Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).

Preferred qualifications

• Bachelor's or Master's in Computer Science or equivalent experience.
• Experience building AI tools/agents for coding.
• Strong proficiency in Python, C++, or Go.
• Familiarity with machine learning frameworks and techniques (fine-tuning, reinforcement learning).
• Ability to self-initiate and a passion for the mission of AI safety and security.

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.

As a Research Scientist in the CodeMender Research team, you will play a key role in both advancing our research capabilities and building the scalable infrastructure needed to support them. You will work on both the underlying cybersecurity models and custom orchestration harnesses—such as the skills and custom agent loops used for vulnerability verification. You will develop novel agentic techniques, integrate them into research prototypes, and productionize these solutions to land transformative impact for GDM and software security.

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.

• Contribute to GDM's Cyber Strike initiative, collaborating across organizations (DeepMind, Cloud Security, etc.) to build high-quality cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
• Design, implement, and maintain scalable software infrastructure for CodeMender’s vulnerability detection and remediation services.
• Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.
• Optimize system performance, latency, and resource utilization for serving large models.
• Collaborate with product and platform teams to gather requirements and deploy research‑based solutions into Google's developer tools and workflows.
• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits.
• Learn more about benefits at Google .
• 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.

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 .

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.