Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

783713289

Required Qualifications:

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR equivalent experience.
• 3+ years of experience in Machine learning in deep learning projects.
• 3+ years of experience in recommendation algorithms or natural language processing.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.

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 March 27, 2025.

• Demonstarte expertise in a broad area or research and understand any applicable research techniques. Serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
• Review business and product requirement, incorporate research, and provide strategic direction for problem solving. Ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
• Document work and experimentation results and share findings to promote innovation. Provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.