Research Engineer, Knowledge Team

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.

- 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.

- Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using

- Have experience developing software that utilizes Large Language Models such as Claude

- Are results-oriented, with a bias towards flexibility and impact

- Pick up slack, even if it goes outside your job description

- Want to partner with world-class ML researchers to develop new LLM capabilities

- Collaborating with product teams to quickly prototype and deliver innovative solutions

- Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing