Research Scientist, Frontier Red Team (Emerging Risks)

This Research Scientist will focus on scoping, evaluating, red teaming, and defending against societal risks caused by advanced models that emerge over the next few years. Powerful AI models may have major implications for national security, running a business, power and privacy, infrastructure, social relationships, and more. They may come as a result of the increasing integration of powerful models in our economy and social sphere.

As an independent Research Scientist, you’ll build a research program to understand these Emerging Risks. You’ll build evals, run experiments, and look for real world signals to understand how these may come about. You’ll turn this into insights we can use to steer the development and use of the technology more positively. Compared to the team's other focuses, you will focus less on acute catastrophic risks and more on risks that emerge from increasing integration into our world.

What You’ll Do:

• Design and run research experiments to understand the emerging risks models may create

• Produce internal & external artifacts (research, products, demos, dashboards, tools) that communicate the state of model capabilities

• Shape product,  safeguards, and training decisions based on what you find

• Work closely with Societal Impacts (SI) and Safeguards teams

Sample Projects:

• Build, run, and study an autonomous AI-powered business (e.g. Project Vend), then identify the growth of real autonomous businesses in the wild using Clio and other tools

• Build a benchmark for a model’s national security capabilities

• Red team unsafeguarded models’ abilities to be used for control

• Identify indicators of models being used to scale movements that rely on social control

• Are a fast experimentalist who ships research quickly

• Have experience creating a research program from scratch

• Are thoughtful about humanity’s adaptation to powerful AI systems in our economy and society

• Can communicate thoughtfully in written + spoken form with a wide range of stakeholders

• Can scope ambiguous research questions into tractable first projects

• Building & maintaining large, foundational infrastructure

• Building simple interfaces that allow non-technical collaborators to evaluate AI systems

• Working with and prioritizing requests from a wide variety of stakeholders, including research and product teams