Principal Applied Researcher

Microsoft
San Francisco Bay area / New York City metropolitan area / U.S.2026-05-20onsite

About the job

The Data and AI team in Microsoft’s Developer Division is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.

Responsibilities

Lead research projects on the future of AI for developers

Collaborate across disciplines with product teams across Microsoft and Github

Stay up to date with the research literature and 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

Qualifications

Minimum

Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience OR equivalent experience.

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

Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 6+ years related research experience OR Bachelor's Degree in relevant field AND 8+ years related research experience OR equivalent experience.

Experience publishing academic papers as a lead author or essential contributor.

Experience participating in a top conference in relevant research domain.

2+ years experience in building machine learning and AI for production environment.

3+ years experience developing and deploying live production systems, as part of a product team.

3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.