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.
Skills Required
- Deep, first-principles understanding of LLM reasoning, failure modes, and practical quirks.
- Expertise in ML algorithm design, search, or optimization and knowledge of LLM training limitations.
- Ability to design novel, data-efficient methods for discovering task-specific reasoning strategies.
- Passion and experience designing self-improvement loops enabling autonomous learning from solved problems.
- Strong publication record and demonstrated ability to execute ambitious research ideas.
What We Do
Poetiq’s platform integrates with any major frontier large language model, including ChatGPT, Claude and Gemini, to reduce the data, time and cost required for advanced problem-solving.
