The Code|AI team at Microsoft is seeking entrepreneurial and creative Applied Researchers and Senior Applied Researchers to lead innovative research projects that transition from research to product. This team focuses on advancing AI for developers through projects related to code completion, code embedding models, and agentic research for various Copilot tools. Collaborating with scientists, engineers, and designers, the role offers opportunities to build and train state-of-the-art models while working closely with developer product teams. The mission is to enhance the productivity of developers worldwide using cutting-edge AI technologies.

• Master's Degree in a relevant field and 1+ years of related research experience, or Bachelor's Degree in a relevant field and 2+ years of related research experience, or equivalent experience.
• The ability to meet Microsoft, customer, and/or government security screening requirements.
• Doctorate in a relevant field or Master's Degree in a relevant field and 3+ years of related research experience, or Bachelor's Degree in a relevant field and 5+ years of related research experience, or equivalent experience.
• 3+ years of research or industrial experience with LLM.
• Industrial or research experience with CodeLLM, Code agent, or AI IDE.
• Experience participating in a top conference in the relevant research domain.
• Experience publishing academic papers as a lead author or essential contributor.

• Contribute to 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.