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Microsoft Applied Researcher II 
Taiwan, Taoyuan City 
751776799

24.04.2025

and multi-group ofand engineersusing AIto improve the pWe havefor codeadvancements inCopilot, VS Code, Visual

creative anpplied Researcher IIto leadprojects, takingthese from research into productengineers andYou will have an opportunity toand train, and opportunities to both apply and advanceusing Large Language Models for software engineering, from using Retrieval-Augmented GenerationMost importantly, you will have an opportunity to work closely with several developer product teams to run experiments, evaluateand improveyour AI projects on a large scale.


Required Qualifications:

  • Master’s degreein relevant field AND1+ years related-research experience
    • OR equivalent experience.
  • 1+ year of experience working with Large Language Models

Other Requirements::

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Doctorate in relevant field
    • OR equivalent experience.
  • Experience publishing academic papers as a lead author or essential contributor.
  • Experience participating in a top conference in relevant-research domain.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until May 5, 2025.

Responsibilities
  • Contribute knowledge around several specialized tools to support planning for AI research projects.
  • Collaborate across disciplines with product teams across Microsoft andGithub
  • Stay up todate with the research literatureand product advances in AI for software engineering
  • Create new datasets from both the world's public code and Microsoft's internal data.
  • Build and manage large-scale ML experiments and models.
  • Embody our Culture and Values