# Research Scientist, Frontier Red Team (Emerging Risks)

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $320,000-$850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5103788008
**Canonical**: https://yubhub.co/jobs/job_7ad1e5eb-781

## 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

## Skills

### Required
- Research
- Experimentation
- Communication
- Stakeholder Management
- Infrastructure Development

### Nice to have
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision