Drimva

Letta

Research Engineer / Scientist, Memory

San Francisco Office · Full-time · Posted Sep 10, 2025

About the job

Design and research long-term memory architectures for LLM agents, including memory systems, multi-agent sharing, context management, and evaluation.

What you'll do

  • Define abstractions for the LLM memory layer and build architectures for temporal, episodic, semantic, and procedural memory.
  • Research memory sharing for multi-agent collaboration and improve context management.
  • Run evaluations to measure and improve agent memory; publish research and open-source work.

What they ask for

  • Deep expertise in LLMs and retrieval.
  • Track record of impactful research through breakthrough publications and/or open-source contributions.
  • Ability to balance execution speed with empirical rigor.
  • Real-world impact beyond pure academic work.

Tools

LLMs

AI focus

Research and develop self-improving AI agents with long-term memory, learning, and adaptation.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)