The Principal Applied Scientist role at Microsoft focuses on designing and developing large language models (LLMs) and subsystems for various product scenarios. This position requires collaboration with research and engineering teams to deliver high-quality solutions, particularly in the realm of generative AI. The ideal candidate will have a strong background in statistics, predictive analytics, and research, and will be expected to influence product needs through industry knowledge. The role emphasizes innovation, mentorship, and alignment with project goals.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ 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 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 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.
• 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.