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Researcher Intern, CoreAI

Microsoft Corporation

Redmond, WAInternship$5,690–11,210/moSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$5,690–11,210/mo
Location
Redmond, WA
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The Code|AI team conducts applied research and data science for GitHub Copilot and VS Code, focusing on code-specific models and agentic research for developer tools. The Applied Researcher Intern will lead research projects from research into product, collaborate with scientists, engineers, designers, and product teams, and build and train models. The internship is for Summer 2027.

Skills & qualifications

RequiredNice to have

Skills

CalculusProbability and StatisticsMachine LearningC/C++JavaRPythonDomain-Relevant Libraries and FrameworksPyTorchNatural Language UnderstandingNeural NetworksComputer VisionDeep LearningAlgorithmic Foundations of OptimizationData SciencePrivacy

Qualifications

Doctorate Degree Enrollment1+ Year Calculus, Probability, Statistics, or Machine Learning Experience1+ Year Programming Language Experience1+ Year Computer Science Experience

Full job description

Overview

The Code|AI team leads applied research and data science for GitHub Copilot and VS Code, working on the future of AI for developers. We are a diverse, entrepreneurial, and multi-disciplinary group of scientists, researchers, and engineers with a 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 Copilot extensions in other IDEs. Our team focuses on post-training code specific models like code completion, code embedding models and agentic research for Copilot Coding Agent, Copilot CLI and Copilot Code Review. We embrace open source and continue to share our research and work with the developer and research communities to advance AI in Developer tools.

We are seeking entrepreneurial and creative Applied Researcher Interns to lead groundbreaking research projects, taking these from research into product. You will collaborate with scientists, engineers, and designers across Microsoft Research, Microsoft product teams, and Github. You will have an opportunity to build and train state-of-the-art models, and opportunities to both apply and advance existing approaches of using LLMs for software engineering, from using RAG to evaluation. Most importantly, you will have an opportunity to work closely with several developer product teams to run experiments, evaluate, iterate, and improve your AI projects on a large scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This is for a Summer 2027 Internship.

#Code|AI #CoreAI #EiP

Responsibilities

  • Contributes to projects on the future of AI for developers.

  • Collaborates across disciplines with product teams across Microsoft and Github.

  • Stays up to date with the research literature and product advances in AI for software engineering.

  • Creates new datasets from both the world's public code and Microsoft's internal data.

  • Builds and manages large-scale ML experiments and models.

  • Embodies our Culture and Values

Qualifications

Required qualifications

  • Currently enrolled in a Doctorate Degree program in a relevant field.

  • Must be enrolled in a Doctorate Degree program in a relevant field for the role during the academic term immediately before the internship.

  • Must have at least one additional quarter/semester of a Doctorate Degree program program in area relevant for the role remaining following the completion of the internship.

Additional Qualifications:

  • 1+ year(s) experience in Calculus, Probability and Statistics and/or Machine Learning.

  • 1+ year(s) experience in one or more general purpose programming languages including: C/C++, Java, R or Python, and domain relevant libraries and frameworks (e.g., PyTorch).

  • 1+ year(s) experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc.

The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.

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

https://careers.microsoft.com/us/en/us-intern-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar

(September - April)

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)

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