Research Intern - OneDrive and SharePoint (Summer 2026)

Microsoft

Closes in 3 days

Quick summary

Work type
On-site
Location
Redmond, WA
Employment
Intern
Posted
176 days ago
Closes
Jun 7, 2026 (soon)

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Similar $181k
$129k most similar roles pay here $235k

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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 571 open roles on FindRole.

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TL;DR · Research Intern - OneDrive and SharePoint (Summer 2026)

Join our cutting-edge research team as a PhD intern to develop innovative AI models and algorithms for complex ODSP scenarios such as intelligent document understanding, search, recommendation, and generative experiences. You will design rigorous evaluation metrics and conduct user studies to ensure your solutions align with real-world needs. Your responsibilities include building datasets using privacy-preserving synthetic data techniques and delivering scalable content understanding and enrichment models across various modalities like text, images, and video. Ideal candidates have a strong foundation in machine learning, hands-on experience with deep learning frameworks such as PyTorch, and proficiency in Python. You should also demonstrate research impact through publications or projects in areas like NLP, information retrieval, computer vision, and multimodal AI. Experience with large-scale datasets, enterprise content management systems, and privacy-preserving evaluation methods is a significant plus.

What you'll do

  • Develop novel AI models and algorithms to address complex ODSP scenarios.
  • Design rigorous evaluation metrics for measuring performance of AI solutions.
  • Conduct user studies to ensure AI solutions align with real-world needs.
  • Build datasets, including using privacy-preserving techniques, for model benchmarking.
  • Deliver scalable content understanding and enrichment models across various modalities.
  • Apply deep learning techniques to solve new challenges in the field.
  • Present research findings through documentation, presentations, and publications.

What we're looking for

  • PhD candidate in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, or related fields.
  • Strong foundation in machine learning and artificial intelligence, including deep learning techniques like transformers.
  • Practical experience with Python and deep learning frameworks such as PyTorch.
  • Ability to design and conduct rigorous evaluation experiments for AI solutions.
  • Demonstrated research impact through publications or projects in relevant AI domains.
  • Experience working with large-scale datasets and privacy-preserving synthetic data methods.
  • Familiarity with LLM training, reinforcement learning techniques, and AI agent orchestrators.

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