{"schemaVersion":"jobsearcher.job.v1","id":"b5e692936543c8fe8a809953","url":"https://jobsearcher.com/jobs/b5e692936543c8fe8a809953","canonicalUrl":"https://jobsearcher.com/jobs/b5e692936543c8fe8a809953","title":"Research Scientist, AI Secure Code, DeepMind","description":"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.\nNote: 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.\nMinimum qualifications:\nPhD degree in Computer Science or Computer Engineering, similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology) or equivalent practical experience.\nExperience with vulnerability research (e.g., auditing, reverse engineering, exploitation).\nExperience building infrastructure, developer tools, or ML-based applications.\nPublication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).\n\nPreferred qualifications:\nBachelor's or Master's in Computer Science or equivalent experience.\nExperience building AI tools/agents for coding.\nStrong proficiency in Python, C++, or Go.\nFamiliarity with machine learning frameworks and techniques (fine-tuning, reinforcement learning).\n\nAbility to self-initiate and a passion for the mission of AI safety and security.\nAbout the job\n\nAs 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.\n\nAs 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.\n\nAs 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.\n\nArtificial 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.\n\nWe 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nContribute 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.\nDesign, implement, and maintain scalable software infrastructure for CodeMender’s vulnerability detection and remediation services.\nBuild evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.\nOptimize system performance, latency, and resource utilization for serving large models.\nCollaborate with product and platform teams to gather requirements and deploy research-based solutions into Google's developer tools and workflows.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Deepmind","rawCompany":"deepmind","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-24T11:03:46.166Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Scientist, AI Secure Code, DeepMind","description":"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.\nNote: 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.\nMinimum qualifications:\nPhD degree in Computer Science or Computer Engineering, similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology) or equivalent practical experience.\nExperience with vulnerability research (e.g., auditing, reverse engineering, exploitation).\nExperience building infrastructure, developer tools, or ML-based applications.\nPublication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).\n\nPreferred qualifications:\nBachelor's or Master's in Computer Science or equivalent experience.\nExperience building AI tools/agents for coding.\nStrong proficiency in Python, C++, or Go.\nFamiliarity with machine learning frameworks and techniques (fine-tuning, reinforcement learning).\n\nAbility to self-initiate and a passion for the mission of AI safety and security.\nAbout the job\n\nAs 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.\n\nAs 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.\n\nAs 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.\n\nArtificial 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.\n\nWe 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nContribute 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.\nDesign, implement, and maintain scalable software infrastructure for CodeMender’s vulnerability detection and remediation services.\nBuild evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.\nOptimize system performance, latency, and resource utilization for serving large models.\nCollaborate with product and platform teams to gather requirements and deploy research-based solutions into Google's developer tools and workflows.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-09-24T11:03:46.166Z","dateModified":"2026-09-24T11:03:46.166Z","hiringOrganization":{"@type":"Organization","name":"Deepmind","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b5e692936543c8fe8a809953"},"url":"https://jobsearcher.com/jobs/b5e692936543c8fe8a809953"}}