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