refresh

지금 많이 보는 기업

지금 많이 보는 기업

Microsoft
Microsoft

Empowering every person and organization on the planet to achieve more.

Research Intern - Inference Economics and Human Agency

직무데이터 사이언스
경력인턴십
위치United States, Washington, Redmond; United States
근무오피스 출근
고용인턴
게시1개월 전
지원하기

Overview:

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.

The Research Intern will conduct empirical research on how human oversight shapes the economic return of AI-assisted work. This includes designing controlled experiments, developing session-level evaluation frameworks that link inference cost to output quality and human effort, and analyzing how interface design choices affect user confidence, reliance, and decision quality during AI-assisted tasks. The Research Intern will collaborate with the MADE team in the Office of the CTO and prepare a submission-ready research manuscript.

Responsibilities:

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Qualifications:

Required Qualifications

  • 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.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

  • 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.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Microsoft 소개

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

3.8

경영진

4.0

82%

지인 추천률

장점

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

단점

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

연봉 정보

5,620개 데이터

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Applied Science

1개 리포트

$234,166

총 연봉

기본급

$180,128

주식

-

보너스

-

$234,166

$234,166

면접 후기

후기 1개

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge