Research Engineering Manager, Responsible Frontier AI Research, DeepMind
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Experience leading teams working on AI safety, security, or responsible AI research (e.g., adversarial robustness, red teaming, safety evaluations, or mitigation's for frontier models).
- Experience with one or more of the following: automated red teaming or jailbreak discovery, LLM-based autoraters and evaluation design, safety classifiers or probes, prompt injection and agent security, or evaluation of severe-harm risks such as CBRN or Harmful Manipulation.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field with a focus on adversarial machine learning or AI/ML security.
- Track record of research or engineering achievements, such as publications in peer-reviewed venues, open-source projects, or public benchmarks.
About the job
As a Research Engineering Manager, you will lead a team of Research and Software Engineers in our Responsible Frontier AI Research team. Your team will build the engineering foundations of DeepMind's Responsibility research portfolio. This includes automated platforms that discover, measure, and mitigate jailbreaks, and red-teaming tools used by subject-matter experts across DeepMind. It also includes defenses that help AI agents operate safely on the open web, and evaluations and tools that facilitate mitigations for severe harms, such as chemical, biological, radiological, and nuclear (CBRN) risks and harmful manipulation, as part of our Frontier Safety Framework.
Because the responsible AI landscape shifts quickly, you will need to be a highly adaptable leader who can step into any of these research areas, build context fast, and direct engineering effort where it matters most. You will balance research experiments with robust, scalable infrastructure that other teams rely on. You will also combine technical leadership with hiring, developing, and retaining an exceptional team.
You will be joining a specialized Applied Research and Responsibility team within Google while closely partnering with teams across DeepMind, Research, Product, and Policy to identify and address key issues in responsible AI. Our work remains deeply integrated with DeepMind.
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.
Responsibilities
- Set and communicate priorities for multiple workstreams that support the broader responsibility organization's goals. Align strategy, processes, and decision-making across teams, and move engineering capacity between research projects as priorities change.
- Set clear expectations with individuals, including tech leads, based on their level and role. Meet regularly to discuss performance and development, provide feedback and coaching, and hire and grow a high-performing team.
- Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams, covering systems such as evaluation pipelines, red-teaming tools, autoraters, and mitigation training pipelines. Evolve it as frontier models become more capable, agentic, and multimodal.
- Oversee system designs and review code to solve ambiguous problems. Set best practices for code quality, scalability, reliability, and secure handling of sensitive data.
- Partner with Research Scientists, Subject-Matter Experts, and Product, Program, Policy, and Trust and Safety teams to turn research into evaluations and mitigations that inform model launch decisions. Present trade-offs and results to senior leadership.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.