We are looking for Research Engineers to help us redesign how Language Models interact 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 Language Models! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.

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
• Extending traditional ideas like RAG into heterogeneous data types (image, tables, relational data, etc.)

You may be a good fit if you:

• Have significant Pyth...