Finance Research Scientist for AI Evaluation

Define the frontier of AI-powered financial reasoning as a Member of Technical Staff on the Finance Research core team. You will build rigorous evaluation frameworks and benchmarks for agentic systems applied to enterprise finance, conduct applied research on financial decision-making and workflow automation, and work with engineering and product teams to turn research findings into measurable improvements in AI performance.

• Design, own, and iterate evaluation frameworks for AI agents in financial domains, including benchmark suites, scoring methodologies, quality rubrics, and research-grade evaluation protocols.
• Conduct original research on financial reasoning, decision-making, and workflow automation, and translate findings into measurable improvements in AI systems.
• Develop and curate datasets, test cases, and benchmark environments that reflect real-world enterprise finance challenges.
• Collaborate with AI researchers, machine learning engineers, and product teams to evaluate, validate, and improve finance-focused models and agentic systems.
• Analyze model behavior, identify failure modes, and track performance trends to generate actionable research priorities.
• Publish internal research findings, technical reports, and best practices to advance understanding of AI capabilities in finance.
• Monitor advances in AI, machine learning, financial modeling, evaluation science, and agent architectures, and incorporate new techniques into research work.
• Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation.
• Foster a culture of scientific rigor, experimentation, and collaborative innovation in a distributed research environment.

• Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a related field, PhD strongly preferred; MBA, CFA, or equivalent expertise also considered.
• Deep domain expertise in one or more of the following areas: investment research, capital markets, risk management, corporate finance, accounting, or financial analysis.
• Demonstrated experience conducting rigorous research, developing analytical methodologies, or building evaluation frameworks in finance or related quantitative disciplines.
• Strong ability to translate ambiguous real-world financial problems into measurable research questions and evaluation criteria.
• Exceptional analytical and critical-thinking skills, with a track record of solving complex multidisciplinary problems.
• Excellent written and verbal communication skills, including producing research reports, technical documentation, or thought leadership content.
• Experience working in highly collaborative, cross-functional environments.
• Core skills expected: Financial Research, Enterprise AI, Benchmarking, Agentic Finance Workflows.

• Employment type: Full-time.
• Location: Remote.
• Team: Finance Research, core team role.

Base salary range: $400, 000 to $800, 000 per year.

micro1 is an AI data lab that converts subject matter expertise across domains such as finance, healthcare, and engineering into high-quality training data, evaluations, and feedback loops to improve AI learning and reasoning. The platform identifies and vets experts to scale contributions, with the mission to enable people to apply their expertise to AI and to build the human intelligence layer for frontier AI.