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Research Scientist, SAMBA, DeepMind

Job in New York, New York County, New York, 10261, USA
Listing for: Google LLC
Full Time position
Listed on 2026-10-18
Job specializations:
  • Research/Development
    Research Scientist, AI Business & Operations, Data Scientist, AI Evaluation
Salary/Wage Range or Industry Benchmark: 207000 - 300000 USD Yearly USD 207000.00 300000.00 YEAR
Job Description & How to Apply Below

Share Research Scientist, SAMBA, Deep Mind

Deep Mind place New York, NY, USA

  • PhD in Computer Science, Economics, Computational Social Science, Data Science, or Political Science or a related field, or equivalent practical experience.
  • 2 years of experience with statistical concepts, data analysis, and visualization.
  • 2 years of experience with programming languages (e.g., R, Python), relevant libraries (e.g., Pandas, Num Py, Scikit-learn), or other scripting languages.
  • 2 years of experience with AI evaluation.
Preferred qualifications:
  • Experience creating AI evaluations or benchmarks.
  • Advanced understanding of statistical concepts, and ability to perform data analysis and visualization.
  • Excellent communication and collaboration skills and ability to effectively communicate and work with researchers from a wide variety of backgrounds in research publications, policy briefs, or presentations targeted at both technical and non-technical audiences.
  • Peer reviewed publication on AI auditing/evaluation, especially if it relates to societal impact.
About the job

As a Research Scientist on the Sociotechnical Analysis of Model Behavior (SAMBA) team in the Responsible Research Group (R2), you will conduct research on model behaviors that impact people and society. You will design tools and methods for measuring the impact of AI on society, broadly defined, design experiments, and develop measures to characterize model properties relevant to responsibility and safety.

As one part of your work, you will collaborate closely with other Research Scientists and Research Engineers to build frontier evaluations, apply them in practice, and publish results.

You will be joining a specialized Responsibility team within Google. While our reporting structure sits within Google's broader Trust & Safety organization, our work remains deeply integrated with Deep Mind.

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.

About the job

As a Research Scientist on the Sociotechnical Analysis of Model Behavior (SAMBA) team in the Responsible Research Group (R2), you will conduct research on model behaviors that impact people and society. You will design tools and methods for measuring the impact of AI on society, broadly defined, design experiments, and develop measures to characterize model properties relevant to responsibility and safety.

As one part of your work, you will collaborate closely with other Research Scientists and Research Engineers to build frontier evaluations, apply them in practice, and publish results.

You will be joining a specialized Responsibility team within Google. While our reporting structure sits within Google's broader Trust & Safety organization, our work remains deeply integrated with Deep Mind.

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…

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