Research Scientist, Harmful Manipulation, DeepMind

Google; Greater London; Hybrid; GBP 130,000 - 188,000; Full time

Job summary

DeepMind is seeking a Research Scientist in the Harmful Manipulation domain within the ReDI team. You will research emerging risks in harmful manipulation, develop evaluations, and publish methodologies to impact model development and governance. The role bridges research and practice across global teams and interacts with external stakeholders.

The role emphasizes safety, ethics, and collaboration with cross-functional teams to inform mitigation strategies and governance decisions.

Qualifications

• Track record of leading projects in research settings.
• Publications in high impact domain-relevant conferences or journals.
• Ability to leverage AI tools to build and accelerate research pipelines or safety benchmarks.
• Commitment to translating research insights into practical applications and working with cross-functional teams.

Responsibilities

• Partner cross-functionally to design and implement evaluations identifying Harmful Manipulation capabilities and risks.
• Publish on novel methodologies and capabilities insights.
• Collaborate across teams to carry out holistic risk assessments, including deployment safeguards.
• Engage with external research communities and stakeholders, including governmental entities and safety institutes.

Skills

Project leadership

Publications

AI tooling

Cross-functional collaboration

Job description

Research Scientist, Harmful Manipulation, DeepMind

Share Research Scientist, Harmful Manipulation, DeepMind

DeepMind New York, NY, USA ; London, UK ; +1 more

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; London, UK; Mountain View, CA, USA.

Preferred qualifications:

• Track record of driving complex projects, including in research settings.
• Track record of publications in high impact domain-relevant conferences or journals (NeurIPS, CHI, FAccT, etc).
• Ability to leverage AI tools to build and accelerate research pipelines or safety benchmark development.
• Commitment to translating research insights into practical applications and working with cross-functional teams.

About the job

At DeepMind, the frontier of AI brings extraordinary opportunities and unprecedented responsibilities.

As part of the Responsible Development and Innovation (ReDI) team, you will be responsible for researching emerging risks within the Harmful Manipulation risk domain, developing and implementing novel evaluations to drive understanding of AI-driven harmful manipulation. Your work will range from conducting technical investigations, probing how DeepMind’s most advanced AI models interact with and influence users, to informing mitigation and governance decisions, to publishing on novel methodologies and engaging with external stakeholders. You will have an opportunity to bridge research and practice, contributing novel approaches to help inform model development and deployment.

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. 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 .

• Partner cross-functionally to design and implement evaluations identifying Harmful Manipulation-related capabilities and risks; publish on novel methodologies and capabilities insights
• Collaborate across teams to carry out holistic risk assessments, including determining if deployment safeguards are adequate for high-capability models.
• Work across evaluation and mitigation teams to assist mitigation efforts, while collaborating across Google to provide novel and actionable insights.
• Engage with external research community and stakeholders, including governmental entities, national safety institutes, third-party organisations (including the Frontier Model Forum), external subject matter experts, and academic communities.

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.