The human brain is a sponge. Today’s AI brains are brittle and rigid. At Letta, we’re building self-improving artificial intelligence: creating agents that continually learn from experience and adapt over time.
Founded by the creators of MemGPT from UC Berkeley’s Sky Computing Lab (the birthplace of Spark and Ray). Backed by Jeff Dean, Clem Delangue, and pioneers across AI infrastructure. Our agents already power production systems at companies like 11x and Bilt Rewards, learning and improving every day.
We’re assembling a world-class team of researchers and engineers to solve AI’s hardest problem: making machines that can reason, remember, and learn the way humans do.
Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco.
Your roleYou 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
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
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.
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.
Initial screen (30 min)
Technical screen (1-1.5 hours)
Paid in-person work trial (2 days onsite in SF)
Skills Required
- Deep expertise in LLMs and retrieval
- Track record of impactful research
- Ability to balance execution speed with empirical rigor
- Real-world impact beyond pure academic work
What We Do
Letta is a company founded around the MemGPT project (13k+ GitHub stars). The founding team comes from the same research lab and PhD advisors at Berkeley that produced Spark (→ Databricks) and Ray (→ Anyscale). We have deep expertise in both AI and systems, are currently hiring a founding team of exceptional engineers to join us in building the next generation of LLM agent technology. 👾 You can read more about Letta on TechCrunch and our blog.
