Description
About the Role
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.
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
You May Be a Good Fit If You:
- 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
Strong candidates may also have experience with:
- 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
Annual Compensation Range:
$320,000-$850,000 USD
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/anthropic/jobs/5103788008