# Anthropic Fellows Program — AI Security

**Company**: Anthropic
**Location**: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
**Work arrangement**: onsite
**Experience**: entry|mid|senior|staff|executive
**Job type**: full-time
**Salary**: $3,850 USD / £2,310 / $4,300 CAD per week
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5030244008
**Canonical**: https://yubhub.co/jobs/job_ef01837a-5e3

## Description

### About the Role

The Anthropic Fellows Program is a 4-month, full-time research opportunity for individuals to work on empirical AI research and engineering projects. As an AI Security Fellow, you will be part of a team that focuses on reducing catastrophic risks from advanced AI systems.

### Responsibilities

- Conduct empirical AI research and engineering projects aligned with Anthropic's research priorities

- Collaborate with mentors and peers to achieve project goals

- Present research findings and results to the team and wider community

### Requirements

- Fluency in Python programming

- Strong technical background in computer science, mathematics, or physics

- Ability to implement ideas quickly and communicate clearly

### Nice to Have

- Experience with pentesting, vulnerability research, or other offensive security work

- Experience with empirical ML research projects

- Experience with deep learning frameworks and experiment management

### Logistics

- To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program

- Workspace locations: London and Berkeley

- Visa sponsorship: Not currently available

### Application Process

Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking 'Apply here' will redirect you to Constellation's application portal.

## Skills

### Required
- Python
- Computer Science
- Mathematics
- Physics

### Nice to have
- Pentesting
- Vulnerability Research
- Offensive Security Work
- Empirical ML Research Projects
- Deep Learning Frameworks
- Experiment Management