Research Intern, Agentic Graph Learning

Microsoft

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Quick summary

Work type
On-site
Location
Redmond, WA
Employment
Intern
Posted
14 days ago
Freshness
Confirmed live today
Closes
Apr 10, 2027
Nearby
99+ roles within 25 mi

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Salary context

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Similar $205k
$144k $271k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,200–$254,750.

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Research Intern, Agentic Graph Learning

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As a Research Intern - Agentic Graph Learning, you will join a team of doctoral candidates and researchers to put inquiry and theory into practice. During this twelve-week internship, you will collaborate with mentors to develop and test new ideas within the broad areas of retrieval-augmented generation, graphs, and large language models. Your daily work involves solving hard problems by applying experience with neural network algorithms, computer vision, and large-graph statistical graph theory. You will utilize Python and core computer-science fundamentals to contribute to research and development strides. The role requires proficiency in matrix analysis, probability, and statistics to address complex machine learning challenges. You must demonstrate prior research experience through publications in top-tier journals while utilizing your skills in graph machine learning algorithms to advance the field.

Skills

Python Large Language Models retrieval-augmented-generation Graph Machine Learning Computer Vision Statistics Matrix Analysis Probability Machine Learning Graph Theory Computer Science

What you'll do

  • Collaborate to develop and test new ideas in RAG, graph, and LLM technologies.
  • Work with mentors and researchers to advance research and development strides.
  • Present research findings to the research community.
  • Apply knowledge of neural network algorithms to solve computer vision problems.
  • Implement large-graph, statistical graph theory, and graph machine learning algorithms.
  • Analyze and solve hard problems using Python and computer science fundamentals.
  • Contribute to the vibrant life of the research community.

What we're looking for

  • Currently enrolled in a Doctorate Degree program in machine learning, statistics, computer science, or a relevant field.
  • Experience with Python and broad computer-science fundamentals.
  • Experience with neural network algorithms and computer vision problems.
  • Experience with large-graph, statistical graph theory, and graph machine learning algorithms.
  • Experience with large language models and retrieval-augmented-generation.
  • Completed graduate courses in matrix analysis, probability, and statistics.
  • Prior research experience evidenced by publications in top-tier machine learning journals or conferences.
  • Effective communication skills and the ability to work in a collaborative environment.

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