Poetiq develops an AI meta-system that layers on top of frontier large language models (LLMs) to create specialized, recursively self-improving agents for tougher reasoning tasks.
As an AI Scientist, you will propose, explore and hands-on build the core algorithms for our self-improving reasoning engine. You will push the frontier on the data-efficient methods that allow our system to learn how to reason – how to probe LLMs, extract their hidden knowledge, and synthesize fragments into reliable, complex answers. You are a good fit if you: - Have a deep, first-principles understanding of LLM reasoning, failure modes, and understand their “quirks” through experience. - Are an expert in ML algorithm design, search, or optimization, and know the limitations of common LLM-training methods. - Excel at designing novel, data-efficient methods for discovering optimal, task-specific reasoning strategies. - Are passionate about designing the core self-improvement loops that allow a system to learn from the problems it solves to get better at the next one, autonomously. - Have a strong publication record and thrive bringing crazy ideas to fruition.