Drimva

Letta

Research Engineer / Scientist, Self-Improvement

San Francisco Office · Full-time · Posted Aug 15, 2025

About the job

Develops methods and experiments that help AI agents learn and improve from experience after training, and publishes research and open-source work.

What you'll do

  • Develop prompt optimization and system prompt learning for continuous learning on long-horizon tasks.
  • Create methods for agents to generate and test hypotheses or identify and improve their weaknesses; make learning from long-running tasks more efficient.
  • Design and run scalable experiments to measure self-improvement.

What they ask for

  • Expertise in machine learning, particularly LLMs and continual learning.
  • Familiarity with agent frameworks and prompt optimization.
  • Track record of impactful research through breakthrough publications and/or open-source contributions.
  • Ability to balance execution speed with empirical rigor and demonstrate real-world impact beyond academic work.

Tools

LLMs

AI focus

Research and engineering for agents that self-improve after training, including prompt and system-prompt learning, hypothesis testing, and learning from long-running tasks.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)