Research Intern - Inference Economics and Human Agency Job at Microsoft Corporation (Redmond)

Job Description

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Job Responsibility

Conduct empirical research on how human oversight shapes the economic return of AI-assisted work
designing controlled experiments, developing session-level evaluation frameworks that link inference cost to output quality and human effort
analyzing how interface design choices affect user confidence, reliance, and decision quality during AI-assisted tasks
collaborate with the MADE team in the Office of the CTO
prepare a submission-ready research manuscript
learn, collaborate, and network
present findings
contribute to the vibrant life of the community

Requirements

Currently enrolled in a PhD program in Computer Science, Cognitive Science, Human-Computer Interaction, Information Systems, Behavioral Economics, or a related STEM field
At least 1 year of research experience in one or more of the following: human-AI interaction, decision science, metacognition, AI/LLM evaluation, or computational economics
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples

Nice to have

Experience designing and running human-subjects experiments (IRB-compliant protocols, participant recruitment, controlled task studies)
Familiarity with LLM agent architectures, prompt engineering, or multi-step AI orchestration systems
Background in confidence calibration, signal detection theory, or metacognitive measurement
Experience with mixed-methods research combining quantitative behavioral data and qualitative interview analysis
Proficiency in Python and statistical analysis tools (R, pandas, scipy, or equivalent)
Published or in-progress research in CHI, CSCW, FAccT, AAAI, NeurIPS, or related venues
Familiarity with inference cost modeling, token economics, or cloud compute pricing

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Research Intern - Inference Economics and Human Agency

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