Opening. This role exists to contribute to empirical and conceptual research that helps to identify and define appropriate model behavior in context and the societal impacts of AI.
What you'll do
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.
- 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
What you need
- 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
