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- Tasks: Conduct cutting-edge research on AI model behaviours and their societal impacts.
- Company: Join Google DeepMind, a leader in AI innovation for public benefit and scientific discovery.
- Benefits: Enjoy competitive salary, bonuses, equity, and a diverse, inclusive work environment.
- Why this job: Make a real impact on society while collaborating with top scientists and engineers.
- Qualifications: PhD or strong publication record in relevant fields; programming skills in R or Python preferred.
- Other info: Application deadline is 30th July 2025; background check required for successful candidates.
The predicted salary is between 120000 - 170000 £ per year.
Snapshot
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 us
Artificial 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 role
You 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
About you
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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Research Scientist, R2 employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, R2
✨Tip Number 1
Familiarise yourself with the latest research in AI evaluation and model behaviour. This will not only help you understand the current landscape but also allow you to engage in meaningful discussions during interviews, showcasing your knowledge and passion for the field.
✨Tip Number 2
Network with professionals in the AI and research community. Attend conferences, webinars, or workshops related to AI and sociotechnical analysis. Building connections can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail. Be ready to explain your methodologies, findings, and how they relate to societal impacts. This will demonstrate your ability to communicate complex ideas effectively, a key skill for this role.
✨Tip Number 4
Showcase your programming skills by working on relevant projects or contributing to open-source initiatives. Highlighting your proficiency in languages like R or Python, along with any experience in data analysis, will make you stand out as a candidate.
We think you need these skills to ace Research Scientist, R2
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant research experience, particularly in areas related to AI evaluation and model behaviour. Emphasise your programming skills in R or Python and any publications that showcase your impact in the field.
Craft a Strong Cover Letter: In your cover letter, express your passion for understanding model behaviour and its societal impacts. Mention specific projects or experiences that demonstrate your ability to conduct qualitative and quantitative research, and how you can contribute to the SAMBA team.
Showcase Your Research Skills: Include examples of your previous research work, especially those that involved designing experiments or developing metrics. Highlight your ability to communicate findings effectively to both technical and non-technical audiences.
Prepare for Potential Interviews: While this step is not part of the written application, it's good to prepare for interviews by thinking about how you would discuss your research methodologies and findings. Be ready to explain complex concepts in simple terms, as this role requires collaboration with diverse teams.
How to prepare for a job interview at The Rundown AI, Inc.
✨Showcase Your Research Impact
Be prepared to discuss your previous research projects and publications in detail. Highlight how your work has contributed to the field and any measurable impacts it has had on society or technology.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, especially in R or Python. Be ready to discuss specific libraries you've used, such as Pandas or NumPy, and how they relate to your research.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll need to communicate findings to both technical and non-technical audiences, being able to convey your ideas clearly is crucial.
✨Prepare for Collaboration Questions
Expect questions about your experience working in interdisciplinary teams. Think of examples where you successfully collaborated with others, particularly in research settings, and be ready to share those stories.
