Microsoft Senior Applied Scientist-Word 

Taiwan, Taoyuan City 

326483731

Washington build large scale natural language understanding and natural language generation models usingcutting edgetrack recordof delivering innovative AI-powered writinghave recently launched

As ain the team, you will drive intelligence experience projects through their entire life cycle from idea creation through rigorous science experiments, evaluations, and finally to worldwide availability. You will collaborate with other applied scientists, researchers, engineers, and product managers to deliver high-quality features and products that enhance the writing experience across multiple platforms and domains. You will also conduct

Required Qualifications:

• Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.
• 3+ years of researchorproduct experience in NLP.
• 3+ years of hands-on experience in Deep Learning usingPyTorchor similar.
• 3+ years of software engineering experience in Python or C#.

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)ORDoctorate 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 experiencecreating 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 experienceconducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the productcyclefrom ideation to shipping.
• PhD degree in Computational Linguistics or Computer Science with a focus on NLP.
• Fluency with recent NLP &LLMadvancement as well as a driven passion for discovering the next generation of technology.
• Experience conducting applied research and publishing papers.
• Experience working incollaborativemultiple team environment and ship production features in a fast-paced environment.
• Effective communication,collaboration, and

Microsoft will accept applications for the role until July 17th, 2025.

The mission of the team is to advance intelligent reading and writing assistance in M365 and to make fundamental contributions to advancing the state-of-the-art in language technology within Microsoft and in industry. As a senioar applied scientist, your responsibilities include:

• You will review business and product requirements and incorporate state-of-the-art research to formulate plans that will meet business goals.
• You will research and develop an understanding of tools, technologies, and methods being used in the community that can beutilizedto improve product quality, performance, or efficiency.
• You will stay updated with the latest research and trends in NLP and related fields and explorenew ideasand opportunities for innovation.
• You will participate in onboarding of team members. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
• You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.