Research Engineer / Scientist, Memory

Letta

$120K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep expertise in large language models (LLMs) and retrieval techniques
  • Proven record of impactful research through breakthrough publications or open source contributions
  • Experience balancing execution speed with empirical rigor
  • Demonstrated real-world impact beyond academia

Responsibilities

  • Define the key abstractions of the LLM memory layer
  • Build memory architectures that support various memory types such as episodic experiences
  • Research memory sharing strategies for effective multi-agent collaboration
  • Improve context management techniques to address long-context issues
  • Conduct evaluations to measure and improve memory functionalities for agents

Benefits

  • Opportunity to work with a world-class team in a fast-growing startup
  • Engage in groundbreaking AI research with real-world applications
  • Possibility of making a significant impact in the field of AI
  • Work in a dynamic and innovative culture focused on open-source contributions
  • Flexible approaches to work despite absence of a strict 9-5 schedule
Full Job Description
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


Our culture

Signs it could be a great fit:
  • You want to maximize your impact: you want work on a small, incredibly talented team where every individual plays a huge role in the team's success. You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple of grad students in a garage.
  • You're excited to go head-to-head with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding.
  • You are fundamentally opposed to closed frontier AI that is controlled by a handful of billionaires and private tech companies.


Signs it's a bad fit:
  • You like stability, and get stressed out when there's nobody telling you exactly what to do. We look for people that thrive in ambiguity and can intuit the most important problems by talking to customers and dogfooding our product.
  • You want to work a 9-5, and value clear separation of work from life. The stakes are the highest they've ever been, and the only moat is execution velocity. Operating on a strict 9-5 guarantees failure.
  • You value titles or want to people-manage. Letta is a flat company where every researcher and engineer is an individual contributor.


Our Interview Process:
  • Initial screen (30 min)
  • Technical screen (1-1.5 hours)
  • Paid in-person work trial (2 days onsite in SF)

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