Research Engineer, Knowledge Team

Job Description

Anthropic is seeking a Research Engineer to join their Knowledge Team in London. The successful candidate will help redesign how Claude interacts with external data sources, focusing on creating new architectures for information organization and training language models to optimally utilize them. Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring they are safe and beneficial for users and society.

Responsibilities:

• Designing and implementing new information architecture strategies from scratch.
• Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures.
• Building "hard" knowledge base eval sets to identify failure modes of how language models work with external data.
• Designing and evaluating advanced agentic search capabilities.

Requirements:

• Very experienced Python programmer.
• Good machine learning research experience.
• Experience developing software that utilizes Large Language Models such as Claude.
• Results-oriented with a bias towards flexibility and impact.
• Clear written and verbal communication skills.
• Bachelor's degree in a related field or equivalent experience.

The role offers:

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office space.

Anthropic values impact and collaboration, working as a cohesive team on large-scale research efforts to advance steerable, trustworthy AI.