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The Code|AI team is the Applied Research and Data 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 the open source and continue to share our research and work with the developer and research community 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.
Job Responsibility
Contributes 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
Embody our Culture and Values
Requirements
Currently pursuing a Bachelors or Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Must have at least one additional quarter/semester of school remaining following the completion of the internship
Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.