Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

581623795

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.
• Experience conducting applied science experiments, creating and validating metrics, and working with ML pipeline and modeling algorithms in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Experience developing and deploying conversational and language understanding models at scale.
• Experience with commercial product development and a commitment to improving user experiences.

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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 10, 2025.

Embody our and

• Design, implement, validate, and ship AI-powered features end-to-end for Microsoft Teams across desktop, web, and mobile clients.
• Collaborate with Program Managers, Designers, and Researchers to define product requirements, timelines, and measurable success criteria.
• Maintain and improve system performance, reliability, latency, and scalability of AI-powered features in production.
• Participate in code reviews, debugging, telemetry reviews, and continuous delivery processes.
• Champion a culture of scientific rigor, ethical AI, and innovation across the team.
• Communicate scientific findings and technical designs clearly to product and engineering leadership.
• Drive exploration of hybrid AI experiences (cloud + edge + LLM) for responsiveness, privacy, and enterprise value.
• Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
• Prompt tuning, fine tuning, and RAG system development.
• Evaluation, A/B testing, and experimentation.
• Embody our culture and values.