Anthropic Fellows Program, Reinforcement Learning

Tech Stack

Responsibilities

• Work on empirical projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission.
• Build model-based tools to understand AI training data and improve its quality.
• Create Reinforcement Learning (RL) environments to enhance Claude models' capabilities or for safety-related tasks.
• Conduct research and implement solutions in areas such as RL algorithms.
• Analyze and debug model training processes.

Benefits

• Equity
• Learning Budget
• Parental Leave
• Remote Work

Culture

Requirements