As a Research Scientist on the Sociotechnical Analysis of Model Behavior (SAMBA) team in the Responsible Research Group (R2), you will conduct cutting edge research on model behaviors that impact people and society. You will conduct qualitative and quantitative research, design experiments, and develop measures to characterize model properties relevant to Responsibility and Safety. You will also design tools and methods for measuring the impact of AI on society, broadly defined. 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.
About usArtificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The roleYou will contribute to empirical and conceptual research that helps to identify and define appropriate model behavior in context and societal impacts of AI. You will work closely with Research Engineers to implement research findings and transform them into concrete, measurable metrics and systematic evaluations.
Key responsibilities- Identify new research areas and questions
- Design and conduct research and experiments
- Develop and test new metrics and measures
- Perform data analysis to synthesize and visualize research findings and evaluation results
- Lead writing results for research publications
- Communicate findings in non-research publications to non-technical audiences through presentations or briefs
You are a Research Scientist who is interested in applying your skills to better understand model behavior in areas with large impacts on people and society. You are passionate about evaluation and quantification and able to communicate well with technical teams to integrate your work into existing platforms and infrastructures.
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- A history of high impact research and publication in relevant areas, typically demonstrated by a PhD and/or strong publication record in a relevant field. Because this role is interdisciplinary in nature, a disciplinary background in Computer Science, Economics, Computational Social Science, Data Science, Political Science, or similar involving technical/quantitative skills and consideration of impacts on people or society is desired.
- Proficiency in programming languages like R or Python (with experience in relevant libraries like Pandas, NumPy, Scikit-learn) or other scripting languages.
- Solid understanding of statistical concepts, and ability to perform basic data analysis and visualization
- Experience with or demonstrated interest in AI evaluation.
- Good communication and collaboration skills: an ability to effectively communicate and work with researchers from a wide variety of backgrounds in research publications, policy briefs, and/or presentations targeted at both technical and non-technical audiences
- Comfortable working in a fast-paced environment
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 5pm ET Wednesday 30th July 2025
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
