Principal Applied Scientist (multiple Positions) - Msai Office of Cto

Microsoft Microsoft · Big Tech · United States · Applied Sciences

This role focuses on designing and developing LLMs and underlying subsystems for enterprise AI products, specifically within Microsoft 365 Copilot. It involves tailoring models to product scenarios, collaborating with research and engineering teams, and building custom LLMs and architectures for GenAI applications. The role requires a strong understanding of AI/ML product cycles and the ability to deliver solutions from ideation to shipping.

What you'd actually do

  1. You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
  2. You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
  3. Collaborate with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions.
  4. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
  5. Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements.

Skills

Required

  • 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
  • equivalent experience

Nice to have

  • 3+ years’ experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
  • 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 5+ years experience conducting research as part of a research program (in academic or industry settings).
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • 5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.

What the JD emphasized

  • design and develop LLMs
  • tailor to various product scenarios
  • working with research and engineering teams
  • deliver the best of joint class solutions
  • building models
  • build custom LLMs and architecture for specific product needs
  • GenAI
  • developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
  • developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping

Other signals

  • design and develop LLMs
  • tailor to various product scenarios
  • working with research and engineering teams
  • deliver the best of joint class solutions
  • building models
  • build custom LLMs and architecture for specific product needs
  • GenAI