Microsoft's Developer Division is looking to improve developer productivity worldwide by leveraging AI. The goal is to integrate advanced AI models into developer tools like GitHub Copilot, VS Code, and Visual Studio to enhance code understanding, generation, and editing experiences.
Requirements
- 2+ years of experience in applied research or development of applications with LLMs, including techniques such as fine-tuning and retrieval-augmented generation (RAG) pipelines.
Responsibilities
- Develop and evaluate advanced models for code completion and editing, improving code understanding, generation, and review within defined project scopes.
- Implement context-augmented techniques to enhance model awareness of large and complex codebases, enabling context-rich developer assistance.
- Prototype and optimize inference algorithms for efficient, interactive code generation experiences at scale.
- Design, train, and validate machine learning models, ensuring robustness, fairness, and performance in production environments.
- Conduct experiments and analyze results to iterate on model improvements and deliver measurable impact.
- Collaborate with product and engineering teams across GitHub and Microsoft to integrate models into user-facing features.
- Stay informed on research and product trends in AI for software engineering, applying relevant advancements to improve model capabilities.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
