Research Scientist, SAMBA
About The Position
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 the societal impacts of AI. You will work closely with Research Engineers to implement research findings and transform them into concrete, measurable metrics, systematic evaluations, and tooling. You will be expected to communicate your findings to a variety of audiences, including publishing work in high impact venues. 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. 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 opportunity 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. Application deadline: Wednesday 21st January 2026. 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.
Requirements
- 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
Responsibilities
- Identify new research areas and questions
- Manage and lead a thriving and growing team.
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
