New 
Applied Scientist
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 21, 2025 | |
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OverviewThe Data and AI team in Microsoft's Developer Division is shaping the future of AI for Developers! We are a diverse, entrepreneurial, and multi-disciplinary group of scientists, engineers, and researchers passionate about using AI to improve developer productivity worldwide. Our innovations power AI-driven code experiences in GitHub Copilot, VS Code, Visual Studio, and other Microsoft products. We are seeking a highly motivated Applied Scientist and Sr. Applied Scientist to contribute to impactful projects that bring research into product. You will collaborate with scientists, engineers, and designers across Microsoft Research, product teams, and GitHub to design, train, and evaluate advanced models for code understanding and generation. This role offers opportunities to apply and refine approaches using LLMs for software engineering, including retrieval-augmented generation and efficient inference techniques. Most importantly, you will work closely with product teams to integrate models into real-world developer experiences, iterating and improving AI solutions at 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesDevelop 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. | |