Microsoft Applied Scientist II Senior 

Taiwan, Taoyuan City 

437166140

the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity., which plays a crucial role in the aid of development of Copilot experiences in Office apps like Word, Excel, and PowerPoint andteams across Microsoft.We own the infrastructure and base AI platformthat enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips.

the most advanced, large language models (LLMs) to developCopilot experiences. We are hands-on,and set guidance on best practices through detailed experimentation and research.We have important AI skills like PowerPoint Summary, Q&A, Podcast generation, among others. We have shipped the first fine-tuned model for M365 and are working on multiple fine-tuning scenarios for o3, CUA, and others.

a highly motivated and experienced scientist within machine learning. As anSenior Applied Scientist (multiple positions)inyou would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage Inclusivity in the belief that it leads to both great workplaces and great products.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 1+ years experience with transformer-based models (e.g., GPT, Llama).
• 2+ years experiencewith Python and relevant ML libraries (e.g.,PyTorch).
• 2+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 2+ years experience in shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein AI model development.

Preferred 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.
• 2+ years experience with transformer-based models (e.g., GPT, Llama).
• 3+ years experiencewith Python and relevant ML libraries (e.g.,PyTorch).
• 3+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 3+ years experience in shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein AI model development.

• Masters or Doctorate in Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
• Problem solving and data analysis skills, withexpertisein developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Leadership skills to influence others, with the ability to understand team dynamics,retain, attract, and develop team members.
• Groundedingrowthmindset, and advocate for diversity and inclusion.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications and processes offers for these roles on an ongoing basis.

• Research and develop an understanding of thestate-of-the-arttools, technologies, and methods being used in the research community and product groups.
• Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
• Drive the team's strategic vision and align it with the overall companyobjectives.
• Collaborate with stakeholders to define project goals, success criteria, and deliverables.