Research Engineer, Knowledge Team

Anthropic•Seattle, WA

10h•Hybrid

About The Position

We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.

Requirements

Very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
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
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to partner with world-class ML researchers to develop new LLM capabilities
Care about the societal impacts of your work
Clear written and verbal communication

Nice To Haves

Collaborating with product teams to quickly prototype and deliver innovative solutions
Building complex agentic systems that utilize LLMs
Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing

Responsibilities

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