Research Engineer, Frontier Safety Mitigations, DeepMind

Google LLC; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC is seeking a Research Engineer for the Frontier Safety Mitigation team within the Gemini Safety group. The role focuses on building end-to-end defenses for frontier models and advancing mitigations to reduce misuse while enabling beneficial AI deployment.

You will work on robust, scalable defenses, red-teaming, and threat modeling, contributing to DeepMind's safety commitments and interdisciplinary collaboration across teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

• Build advanced classifiers and data pipelines to detect misuse, owning the end-to-end process from automated evaluation to rapid model iteration.
• Build cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
• Implement data-driven, semi-automated account-level response systems to detect, track, and apply strikes against persistent malicious actors using rich signals from production traffic.
• Evaluate and secure agentic AI systems by developing threat models, creating testing environments, and deploying robust mitigations against frontier-level agentic hacking and long-horizon attacks.
• Advance research in automated red-teaming and adversarial robustness, leveraging multi-turn/agentic attacks to systematically test for and uncover misuse vulnerabilities.

Skills

Software development

Programming languages

Testing & maintenance

Architecture understanding

Education

Bachelor's degree or equivalent practical experience

Job description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in Large Language Model (LLM) development, fine-tuning, or safety evaluation methodologies.
• Experience taking research from concept to product.
• Experience in areas such as Safety and Alignment.

About the job

Our team focuses on de-risking model launches by defending against critical misuse domains such as Cybersecurity, CBRNE (Chemical, Biological, Radiological, Nuclear, Conventional Explosive), and Harmful Manipulation. Currently, this involves building novel evaluations, red-teaming, researching and deploying advanced mitigations (both in-model and out-of-model), and monitoring emerging risks. We ensure that our mitigations are highly robust while still enabling the beneficial use of our technology.

GDM is a dedicated scientific community, committed to 'solving intelligence' and ensuring our technology is used for widespread public benefit.

The Frontier Safety Mitigation team operates in a fast-paced, highly collaborative environment. We have a strong culture of support, dedication, and teamwork. We take the possibility of tangibly dangerous model capabilities seriously as AI advances. Because of this, we believe that proactively researching and implementing robust, defense-in-depth mitigations is a critical part of the overall strategy for building safe AI.

We are looking for a research engineer for the Frontier Safety Mitigation team within the Gemini Safety team.

Your core responsibility is to help us build the next generation of safety mitigations for frontier models. This role is highly applied and focuses on building robust, end-to-end defenses against severe risks. This work feeds directly into DeepMind's Frontier Safety Framework commitments.

You will be at ease with figuring out how to approach new research questions and implementing technical solutions for them at scale.

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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

US Salary: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Build advanced classifiers and data pipelines to detect misuse, owning the end-to-end process from automated evaluation to rapid model iteration.
• Build cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
• Implement data-driven, semi-automated account-level response systems to detect, track, and apply strikes against persistent malicious actors using rich signals from production traffic.
• Evaluate and secure agentic AI systems by developing threat models, creating testing environments, and deploying robust mitigations against frontier-level agentic hacking and long-horizon attacks.
• Advance research in automated red-teaming and adversarial robustness, leveraging multi-turn/agentic attacks to systematically test for and uncover misuse vulnerabilities.

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.

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.