# Research Engineer / Scientist, Self-Improvement

**Company:** [Letta](https://hotfix.jobs/companies/letta)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Skills:** LLMs, Continual Learning, Agent Frameworks, Prompt Optimization, Machine Learning, Open-Source, Experiments, Hypothesis Testing, Prompt Engineering
**Posted:** 2025-08-15

> Develops methods for AI agents to self-improve post-training through prompt optimization, continual learning from long-horizon tasks, hypothesis testing, and scalable experiments. Requires expertise in LLMs, agent frameworks, and impactful research track record.

## Job Description

## Responsibilities
- Developing prompt optimization and system prompt learning methods that allow agents to continuously learn from long-horizon tasks
- Developing methods allow agents automatically generate and test out hypotheses in an environment, or seek out and improve their own weaknesses
- Improving the efficiency of learning from long-running agentic tasks
- Designing and running experiments to measure self-improvement scalably

## Requirements
- Expertise in machine learning, in particular **LLMs** and **continual learning**
- Familiarity with **agent frameworks** and **prompt optimization**
- 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

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**Canonical:** https://hotfix.jobs/jobs/d2040813-a56e-45e6-b3a0-9966d31b5f6b