Research Intern - Agentic Graph Learning

Location: United States, Washington, Redmond Department: Research Sciences

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 Microsoft Catalyst Lab conducts world-class research and is developing the next generations of technology that will change the lives of billions of people, enabling every person and organization on the planet to achieve more. The GraphRAG team works at the intersection of large language models (LLMs), agentic workflow, and graph machine learning.

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.

Additional Responsibilities

Collaborate to develop and test out new ideas in the broad area of RAG, graph, and LLM.

Qualifications

Required Qualifications

Currently enrolled in a Doctorate Degree program in machine learning, statistics, computer science, or a relevant 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

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.

Proficient ability to learn, analyze and solve hard problems.

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.