Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

962095516

As ayou will design and develop LLMs (Large Language Model) and underlying subsystems to tailor to various product scenarios. We are looking for an individual who has the proven capability of working with research and engineering teams and partnering with them to deliver the best of joint class solutions. This can range from alignments with senior stakeholders, working together to building models, to coming up, with ways to build custom LLMs and architecture for specific product needs (especially GenAI).

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical, or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• 3+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive years in related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND significant years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 3+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.

• 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.
• 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.
• 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.
• 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.
• Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements.
• Lead implementation and deployment of solutions, ensuring they meet quality standards. Translate project vision into actionable milestones and guide the team in project estimation and planning. Mentor and guide team members to produce extensible and maintainable code through code reviews and pair programming.
• You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.