Research Scientist, SAMBA, DeepMind

Google•New York, NY

3d•$207,000 - $300,000

About The Position

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 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. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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.

Requirements

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, NumPy, Scikit-learn), or other scripting languages.
2 years of experience with AI evaluation.

Nice To Haves

Experience with or demonstrated interest in AI evaluation.
Solid understanding of statistical concepts, and ability to perform basic data analysis and visualization
Excellent communication and collaboration skills: an 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.

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.