Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

598154815

and multi-modal AI rich experiences

Power Pages’access to personalized,and richtowards our shared mission of delivering a highly innovative, AI powered experience that is positioned to fundamentally change what business applications look like in the future.

who can bring deep applied science experience.

track recordof shipping at-scale AI-enabled intelligent systems to drive vision and innovation for Pand Power Apps, you will beexecuting in

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)

• Master's Degreein 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.

Preferred Qualifications

• Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 3+ years experience conducting research as part of a research program (in academic or industry settings).
  • 4+years experiencewriting production code as well as deploying andmaintainingshipped models over time.
  • 3+years experienceworking on deep learning architectures specifically with Natural language-based models, vectordatabasesand graph databases
  • A publication record in top AI venues will be considered a plus.

• in the area ofLarge Language Models, Natural Language Processing, Machine Learning and Deep Learning.

• Push the boundaries of AI platforms through innovation and partnership.

• Develop and deploy conversational and language understanding models at scale.

• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.

• cultureand

• and