Research Scientist, Harmful Manipulation, DeepMind
Google DeepMind
New York, United States3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Stakeholder management
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management14%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 3, 2026 · still open
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About the Role
At DeepMind, 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.
Key Responsibilities
- 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.
Requirements & Tech Stack
- PhD degree in Psychology, Political Science, Computational Social Science, Computer Science, a related field, or equivalent practical experience.
- Experience designing evaluations or studies to investigate the intersections of technology and manipulation, persuasion, social engineering, or related social phenomena.
- 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.