Member of Technical Staff, Economics Research

About this role

Job Title: Member of Technical Staff, Economics Research Join our research team as a Member of Technical Staff (MTS), Economics Research, where you'll help define the frontier of AI-powered economic reasoning. This role sits at the intersection of large language models, agentic systems, and economics, with a focus on building rigorous evaluation frameworks that measure and advance AI performance across complex economic reasoning and research workflows. You will conduct applied research, develop methodologies for assessing AI systems on economic tasks, and partner closely with researchers, economists, engineers, and product teams to shape the next generation of AI.

Skills

Key responsibilities

• Design and evolve evaluation frameworks for AI systems in economic domains, including benchmarks, scoring methodologies, and quality rubrics.
• Conduct research on economic reasoning and empirical analysis, translating findings into measurable improvements in AI performance.
• Develop datasets, test cases, and benchmark environments reflecting real-world economic research and policy challenges.
• Collaborate with researchers, economists, engineers, and product teams to evaluate and improve economics-focused AI models and agentic systems.
• Analyze model behavior and failure modes to identify research opportunities and improve model performance.
• Apply econometric methods, causal inference, and statistical analysis to evaluate AI capabilities on economic tasks.
• Produce technical reports, research findings, and best practices that advance AI evaluation in economics.
• Stay current with advances in AI, econometrics, and economic research, incorporating new techniques into evaluation methodologies.

Required skills & qualifications

• PhD in Economics or a closely related quantitative field.
• 3–5 years of post-PhD experience in applied economic research (industry, academia, or public policy).
• Expertise in one or more areas such as labor economics, macroeconomics, industrial organization, productivity, technological change, or AI economics.
• Strong background in econometrics, applied microeconomics, and causal inference.
• Experience working with large datasets using SQL and statistical programming languages such as Python or R.
• Demonstrated experience conducting empirical research or developing analytical methodologies.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with experience producing research papers, technical reports, or policy briefs.
• Experience collaborating across research, engineering, product, or policy teams.

Preferred qualifications

• Experience developing or evaluating economics-focused AI, agentic workflows, or benchmarking environments.
• Familiarity with enterprise AI challenges and opportunities for economic research.
• Prior participation in cross-functional research initiatives bridging economics, engineering, and product development.