
Research Scientist, Harmful Manipulation, DeepMind
Mountain View, CAJob$174–252K/yrSeen todaySeen in employer's feed today
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Job overview
As part of DeepMind’s Responsible Development and Innovation team, the Research Scientist will investigate emerging risks in harmful manipulation and develop evaluations of AI-driven manipulation. The work includes technical investigations of how advanced models interact with and influence users, informing mitigation and governance decisions, publishing novel methodologies, and engaging external stakeholders. The role bridges research and practice to inform model development and deployment.
Skills & qualifications
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Full job description
Research Scientist, Harmful Manipulation, DeepMind
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XNote: 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 .
Minimum qualifications:
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PhD degree in Psychology, Political Science, Computational Social Science, Computer Science, a related field, or equivalent practical experience.
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Experience designing evaluations or studies to investigate the intersections of technology and manipulation, persuasion, social engineering, or related social phenomena.
Preferred qualifications:
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Track record of driving complex projects, including in research settings.
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Track record of publications in high impact domain-relevant conferences or journals (NeurIPS, CHI, FAccT, etc).
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Ability to leverage AI tools to build and accelerate research pipelines or safety benchmark development.
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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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Partner cross-functionally to design and implement evaluations identifying Harmful Manipulation-related capabilities and risks; publish on novel methodologies and capabilities insights
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Collaborate across teams to carry out holistic risk assessments, including determining if deployment safeguards are adequate for high-capability models.
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Work across evaluation and mitigation teams to assist mitigation efforts, while collaborating across Google to provide novel and actionable insights.
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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.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 2,160 open Research Scientist jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$174–252K/yr
- California median$183–275K/yr503 salary ranges
- US median$147–222K/yr1,431 salary ranges
This range's midpoint, $213K, is 6% below the California median midpoint ($226K) — in the middle half of Research Scientist salary ranges in California.
- Openings
- Olive Jobs lists 734 open Research Scientist jobs in California and 2,160 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- Research Scientist postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 6 years (1,116 postings).
- Education
- 1,095 of the 2,160 open Research Scientist jobs (51%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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