Research Intern - Agentic Data Memory

MicrosoftMicrosoftRedmond, Washington, United States
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Posted

10/13/2026

Employment

Internship

Range

$7k - $15k/month

Work style

Hybrid

3 days in office

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AI summary

Core responsibilities

Research Interns will collaborate with world-class researchers to advance AI and agentic systems through inquiry and theory. They are expected to conduct well-defined research projects, present findings, and contribute to the research community.

Requirements overview

Candidates must be currently enrolled in a Doctorate Degree program in Computer Science or a related STEM field. Applicants are required to submit two reference letters, a cover letter, and relevant research samples.

Key skills

Artificial IntelligenceAgentic SystemsNatural Language ProcessingInformation RetrievalMachine LearningGraph Machine LearningPythonPyTorchLLM-based AgentsRetrieval-Augmented GenerationKnowledge GraphsMemory SystemsStatistical AnalysisCalculusProbabilityStatistics

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Education requirements

postgraduate degree

About Microsoft

Industry

Software Development

Employees

231,136

Type

Public Company

Size

10,001+ employees

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

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Job categories

Science & ResearchSoftwareData & AnalyticsTechnologyEngineering

Description

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 Agentic Data Memory team at Catalyst Lab is hiring Research Interns to advance Artificial Intelligence (AI) and agentic systems. Our research spans graph-based methods, agent memory and data, workflows and harnesses, loop engineering, and evaluation. You can learn more about Catalyst Lab and its projects at https://www.microsoft.com/en-us/research/lab/catalyst-lab/projects/ 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. Research Interns work on well-defined projects that encourage open exploration and collaboration, guided by dedicated mentors. The Research Internship concludes with a final presentation open to Microsoft employees and, ideally, a peer-reviewed scientific publication. Qualifications Required Qualifications Currently enrolled in a Doctorate Degree program in Computer Science or a related STEM field. 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 1+ year(s) of research experience in natural language processing, information retrieval, machine learning, graph machine learning, or systems for AI, demonstrated through publications or preprints. Experience building or evaluating LLM-based agents, retrieval-augmented generation (RAG), knowledge graphs, or memory systems for agents is strongly preferred. Experience designing benchmarks, evaluation protocols, or controlled experiments, including statistical analysis of results, is a significant plus. 1+ year(s) experience in Python and domain-relevant libraries and frameworks (e.g., PyTorch); familiarity with running experiments on GPU clusters or cloud infrastructure is a plus. 1+ year(s) experience in Calculus, Probability and Statistics and/or Machine Learning. The base pay range for this internship is USD $6,810 - $13,480 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 $8,920 - $14,610 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 Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April). 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.

Requirements

  • •Artificial Intelligence
  • •Agentic Systems
  • •Natural Language Processing
  • •Information Retrieval
  • •Machine Learning
  • •Graph Machine Learning
  • •Python
  • •PyTorch
  • •LLM-based Agents
  • •Retrieval-Augmented Generation
  • •Knowledge Graphs
  • •Memory Systems
  • •Statistical Analysis
  • •Calculus
  • •Probability
  • •Statistics

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