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Research Strategist, Emerging Impacts Team, DeepMind

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google LLC
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 252000 - 275000 USD Yearly USD 252000.00 275000.00 YEAR
Job Description & How to Apply Below
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Final date to receive applications: 19th June 2026

Note:

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

Minimum qualifications:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience in AI ethics and safety within a governance, policy, legal, or research role.

* Experience leading end-to-end assessments of ethical and societal questions related to technology development, balancing risks and benefits across various applications.

Preferred qualifications:

* Master's degree.

* Experience working with AI governance processes within a public or private institution.

* Experience with technical AI models and the broader ecosystem, synthesizing material into accessible formats, collaborating with interdisciplinary teams, and executive stakeholder management.

* Experience focusing on technology/AI ethics and safety, and distilling impact analysis into insights.

* Experience in product management, legal analysis, or other related fields.

* Experience communicating concepts to a range of collaborators, both in writing and executive presentations.

About the job

As an Emerging Impacts Manager, you will deliver tangible, grounded, and forward-looking intelligence for teams across Deep Mind. Ultimately, you will advance our mission to develop Artificial General Intelligence (AGI) responsibly for the greater good of humanity.

In this role, you will work with technical and operational teams at Deep Mind to consider the potential downstream impacts of Deep Mind's research and its applications. You will ensure that our work is conducted in line with ethics and safety best practices, helping Deep Mind to progress towards its mission. You will build on your technical knowledge of AI models across various domains to assess their safety performance and real-world impact, sharing analysis to advise various Deep Mind stakeholders, including our responsibility and safety council.

Artificial intelligence will be one of humanity's most transformative inventions. At Google Deep Mind, 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: $252000 - $275000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

* Support the responsibility and safety council by frequently presenting project assessments and communicating with executive stakeholders.

* Develop and document best practices for Deep Mind projects by working with internal experts and external organizations.

* Design and run engagement models, such as workshops and external expert consultations, to address ethics and safety issues and identify new research areas.

* Collaborate closely with Deep Mind safety communities and broader teams to inform model policy, prepare for emerging AI capabilities, and refine assessment frameworks through monitoring real-world impact.

* Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations.
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