Join the research team at micro1 as a Member of Technical Staff, Finance Research, where you will help define the frontier of AI-powered financial reasoning. This role sits at the intersection of large language models, agentic systems, and enterprise finance, focusing on building rigorous evaluation frameworks that measure and advance AI performance across complex financial workflows.
Key responsibilities
- Design and evolve evaluation frameworks for AI agents operating in financial domains, including benchmark suites and scoring methodologies.
- Conduct original research on financial reasoning and workflow automation, translating findings into measurable improvements in AI performance.
- Develop and curate datasets, test cases, and benchmark environments that capture real-world enterprise finance challenges.
- Collaborate with AI researchers, machine learning engineers, and product teams to validate and improve finance-focused models.
- Analyze model behavior and failure modes to generate actionable insights and guide research priorities.
Requirements
- Advanced degree in Finance, Economics, Financial Engineering, or a related quantitative field.
- Deep domain expertise in areas such as investment research, capital markets, risk management, or corporate finance.
- Demonstrated experience conducting rigorous research or developing analytical methodologies in finance.
- Strong ability to translate complex financial problems into measurable research questions and evaluation criteria.
- Excellent communication skills with a track record of producing technical reports or research documentation.
What we offer
- Opportunity to shape the next generation of enterprise AI in a collaborative, research-driven environment.
- Exposure to cutting-edge AI agent architectures and large language model evaluation techniques.
- A culture that fosters scientific rigor, experimentation, and innovation.
- Full remote work environment with a focus on high-performing, distributed collaboration.