# Anthropic Fellows Program — Reinforcement Learning

**Company**: Anthropic
**Location**: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
**Work arrangement**: remote
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5183052008
**Canonical**: https://yubhub.co/jobs/job_d4e80a65-378

## Description

### About the Role

The Anthropic Fellows Program is a 4-month full-time research opportunity that provides funding and mentorship to promising technical talent. As a Reinforcement Learning Fellow, you will work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g., a paper submission).

### What to Expect

- 4 months of full-time research

- Direct mentorship from Anthropic researchers

- Access to a shared workspace (in either Berkeley, California or London, UK)

- Connection to the broader AI safety and security research community

- Weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD + benefits (these vary by country)

- Funding for compute (~$15k/month) and other research expenses

### Responsibilities

As a Reinforcement Learning Fellow, you will be responsible for:

- Building model-based tools to better understand AI training data and improve training data quality

- Conducting research and implementing solutions in areas such as RL algorithms

- Collaborating with other researchers and engineers to advance the state-of-the-art in reinforcement learning

### Qualifications

- Fluency in Python programming

- Strong background in a discipline relevant to reinforcement learning (e.g., computer science, mathematics, or physics)

- Experience in areas of research or engineering related to reinforcement learning

### Logistics

To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

### How to Apply

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
- Reinforcement Learning
- Machine Learning
- Deep Learning
- Computer Science

### Nice to have
- Software Engineering
- Data Analysis
- Statistics
- Mathematics