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.
Microsoft Research Special Projects is seeking interns to join us in pushing the boundaries of Large Language Model (LLM) capabilities. Examples of research areas of interest include, but are not limited to:
- LLM memory representations and retrieval methods (e.g., GraphRAG)
- Detecting temporal changes in memory representations
- Improving LLMs’ ability to handle ambiguity
- Detecting and mitigating hallucination
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 Statistics, Computer Science, Linguistics, Physics, Operations Research, or a related technical field
- At least 1 year of hands-on experience working on LLM-focused projects (e.g., prompt engineering, building and evaluating LLM-based systems, etc.)
- At least 1 year of experience coding in Python
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
- Programming skills, including ability to prototype ideas
- Experience working with complex datasets to solve challenging problems
- Demonstrated ability to work independently and make meaningful progress in ambiguous or rapidly evolving research environments
- Willingness to embrace knowledge/techniques outside of your field of research
- Familiarity with knowledge graphs and graph machine learning
- Knowledge of probability and statistics
- At least one publication as a first author in a top-tier conference or journal
Additional Information:
- Please submit a list of all projects you worked on in the last 2 years with the following information:
- Start and end date for the project.
- Brief overview of what the project is about.
- What you did on the project.
- What technologies you used for the project.
You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents.
If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.
