Research Intern - OneDrive and SharePoint (Summer 2026)

Microsoft • Redmond, WA

71d • Onsite

About The Position

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 OneDrive and SharePoint (ODSP) Applied Science team is an interdisciplinary group of researchers and engineers driving Artificial Intelligence (AI) innovation to transform how users remember, reason, act on their content and collaborate with others via Microsoft products. We tackle high-impact challenges to deliver tangible customer and business value by performing cutting-edge research and translating it into technologies that empower millions of users. We are looking to hire several PhD candidates for 12-week summer internships based in Redmond, WA.
Research Interns will be expected to investigate, propose, implement, and evaluate new approaches within the broader areas of large language models (LLMs), Multimodal AI, Reinforcement Learning, Conversational AI, and AI Agents. As a Research Intern you will partner with product and engineering teams, to invent and deliver the future of content and collaboration at Microsoft. You will be expected to present results internally at the end of the internship and to write up their work for publication at leading academic venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR, etc.).
Research Internships offer an opportunity to work in a supportive, inclusive and collaborative environment. You’ll join a culture that values growth mindset and teamwork, providing you with opportunities to be mentored by world-class AI researchers and engineers, as well as other learning and career development resources as you help shape the future of content and collaboration in ODSP.

Requirements

• Currently enrolled in a PhD program in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, or related fields.
• 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.

Nice To Haves

• Demonstrated foundation in machine learning and artificial intelligence. Hands-on experience with modern deep learning techniques (e.g., transformer models, large language models).
• Practical Python coding experience with PyTorch or similar frameworks. Ability to prototype and implement algorithms efficiently.
• Proficient analytical, problem solving, communication, and collaborative skills. Able to formulate hypotheses, drive experiments, and work effectively in a collaborative environment.
• Demonstrated research impact through publications or projects in relevant AI domains (e.g., natural language processing, information retrieval, computer vision, multimodal AI, knowledge mining). A track record of applying scientific methods to real-world problems is a plus.
• Familiarity with LLM training or fine-tuning, particularly using reinforcement learning techniques or AI agent orchestrators.
• Experience working with large-scale datasets, enterprise content, or content management systems. Experience with privacy-preserving evaluation methods or synthetic data generation is highly desirable.

Responsibilities

• Conduct experiments and develop novel AI models and algorithms to address complex ODSP scenarios (e.g., intelligent document understanding, search/RAG, recommendation, generative experiences, proactive knowledge mining).
• Design rigorous evaluation metrics, methodologies, and validation experiments to measure performance and quality of devised AI solutions and agentic AI workflows.
• Conduct user studies to gather qualitative and quantitative insights, ensuring solutions align with user needs and improve real-world experience.
• Build datasets (including leveraging privacy-preserving synthetic data techniques) to fine tune and benchmark models for ODSP applications.
• Deliver models and algorithms for content understanding, enrichment, and use at scale, across a range of different modalities, including text, images, and video.
• Apply your in-depth knowledge, problem-solving skills, and drive to solve new challenges in the field and realize your ideas in products used worldwide.
• Present research findings and propose ideas in team discussions; share results through documentation and presentations and contribute to research publications.
• Embody Microsoft culture and values.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees