> Markdown version of [/jobs/ext/3692678-research-engineer-agentic-security-for-gemini-deepmind](https://www.wearedevelopers.com/jobs/ext/3692678-research-engineer-agentic-security-for-gemini-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer, Agentic Security for Gemini, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Bioinformatics, Python (Programming Language), Machine Learning, Open Source Technology, Pytorch, Agentic-AI, Information Technology, Google Gemini, DeepMind - **Published:** October 11, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3435009164&tx=JT9688TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Master's degree in Computer Science or related quantitative field. * 1 year of experience in training or fine-tuning generative models to improve capabilities. * Experience in one of the machine learning safety, security, privacy, or alignment fields. * Experience in one machine learning framework such as JAX or PyTorch. * Experience building readabl and reusable ML software. Preferred qualifications: * Experience with JAX, PyTorch, or similar machine learning platforms. * Experience in Python through strong artifacts in building readable, scalable, reusable ML software. ## Description * Build post-training data and tools to improve Gemini's security & privacy capabilities across coding, personal assistant, and other agentic capabilities; integrating improvements into latest versions of Gemini. * Coordinate closely with stakeholders working on Gemini's tool use, coding and other agentic capabilities to ensure security & privacy gains in the model do not impact Gemini's utility. * Collaborate with other team members to improve our adversarial evaluation (auto-red teaming) techniques and out-of-model guardrails. * Amplify the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. 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.