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Research Engineer / Scientist, Memory

Letta· Technical Staff - Research
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San FranciscoFull timePosted 11mo ago

About the role

Design the long-term memory architecture for LLMs and contribute to self-improving AI research and implementations, including open publishing and open-source contributions. In-person role based in downtown San Francisco.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:LLM and retrieval expertiseResearch track recordExecution speed vs empirical rigorReal-world impact
Last updated Jun 15, 2026. Interested? Apply on the company site.

About Letta

The platform for stateful agents. Build AI agents with long-term memory, advanced reasoning, and custom tools using the Letta API and Agent Development Environment (ADE).

Letta is the platform for building stateful AI agents that can continually learn from experience and evolve over time.

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