Research Engineer / Scientist, Memory
Designs long-term memory architectures for LLMs, builds multi-type memory systems, researches agent memory sharing and context management, and runs evaluations. Requires deep LLM/retrieval expertise and impactful research track record.
About the job
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
Requirements
- 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
LLMs, Retrieval, Memory Architectures, Multi-Agent Systems, Context Management, AI Agents
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