SOLVING SELF-IMPROVING SUPERINTELLIGENCE

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.

You’ll develop the foundational methods that enable AI systems to learn and self-improve over time. This means tackling the core research challenges around memory, context management, and agent architectures that allow AI systems driven by large language models to evolve through experience - moving us closer to agents with human-like (and beyond human) learning capabilities.
At Letta, you’ll work with a world-class, tight-knit team of AI researchers and engineers towards our vision of self-improving superintelligence.