Your role
You will design the long-term memory architecture for LLMs. At Letta, you'll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence. Advance the field through open publishing of research through papers, technical reports, blog posts, and open-source code.
What You’re Responsible For:
- Defining the key abstractions of the LLM memory layer
- Building memory architectures that support multiple memory types including temporal sequences, episodic experiences, semantic knowledge, and procedural skills
- Researching memory sharing between multiple agents that enable effective multi-agent collaboration
- Improving context management techniques that solve the long-context / context derailment problem
- Running evaluations for measuring and improving memory for agents
What We're Looking For:
- Deep expertise in LLMs and retrieval
- Track record of impactful research (breakthrough publications and/or open source contributions)
- Ability to balance execution speed with empirical rigor
- Real-world impact beyond pure academic work