The Principal Applied Scientist role at Microsoft focuses on designing and developing large language models (LLMs) and subsystems for Microsoft 365 Copilot, a cutting-edge productivity tool. The position requires collaboration with research and engineering teams to create tailored solutions for various product scenarios, particularly in generative AI. The ideal candidate will have a strong background in statistics, predictive analytics, and research, along with experience in AI/ML product development. This role emphasizes innovation, collaboration, and a commitment to ethical research practices.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Master a broad area of research and understand applicable research techniques.
• Review business and product requirements, incorporate research, and provide strategic direction for problem solving.
• Collaborate with stakeholders to gather and understand user requirements and expectations.
• Document work and experimentation results and share findings to promote innovation.
• Facilitate design meetings, create design documents, and ensure alignment with project goals.
• Lead implementation and deployment of solutions, ensuring they meet quality standards.
• Mentor and guide team members to produce extensible and maintainable code through code reviews and pair programming.
• Identify and inspire peers and new research talent to join Microsoft.

• 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.