Research Scientist, SAMBA, DeepMind

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.Minimum qualifications: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.Preferred qualifications:Experience with or demonstrated interest in AI evaluation.Solid understanding of statistical concepts, and ability to perform basic data analysis and visualizationExcellent 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.As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.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. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.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.