Finance Research Scientist for AI Evaluation

Define the frontier of AI-powered financial reasoning by designing rigorous evaluation frameworks and research that measure, benchmark, and improve AI performance across complex enterprise finance workflows. You will combine finance domain expertise with research in large language models, agentic systems, and evaluation science to shape next-generation enterprise AI capabilities.

micro1 is an AI data lab that converts real-world subject matter expertise into high-quality training data, evaluations, and feedback loops for frontier models. The team works across domains including finance, healthcare, and STEM engineering to improve how AI systems learn and reason, and to build a global expert network that scales expert contributions.

• Design, own, and iterate evaluation frameworks for AI agents in finance, including benchmark suites, scoring methodologies, quality rubrics, and research-grade evaluation protocols.
• Conduct original applied 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 produce actionable research insights and prioritize work.
• Publish internal research findings, technical reports, and best practices that advance enterprise financial intelligence and evaluation science.
• Stay current with advances in AI, machine learning, financial modeling, evaluation science, and agent architectures, and incorporate emerging techniques into research initiatives.
• Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation, and foster scientific rigor within 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 finance areas, such as 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.
• 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 experience producing research reports, technical documentation, or thought leadership.
• Experience working in highly collaborative, cross-functional environments.
• Required skills explicitly called out: Financial Research, Enterprise AI, Benchmarking, Agentic Finance Workflows.

• Employment type: Full-time.
• Location: Remote.
• The role operates within a distributed research environment and will require regular cross-team collaboration, which may include coordinating across time zones.

• Salary range: $400, 000 - $800, 000 per year.

The source does not specify work authorization, visa, or sponsorship details. Candidates should be able to legally work in the location from which they will be employed and to participate as a full-time remote employee under company policies.