Microsoft Applied Scientist II Senior Scientists 

Taiwan, Taoyuan City 

275423779

In these roles, you will collaborate with other Applied Scientists, Researchers, Engineers, and Product Managers to deliver high-quality features and products that enable organizations to adopt AI and agentic technologies and measure their impact on desired business outcomes. You will also conduct

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.
• 2+ years experience demonstratingproficiencyin real world applications of Foundation Models, domain adaptation of Foundation Models (e.g.fine-tuning LLMs/SLMs), Agentic Systems, Natural language processing, Prompt tuning.
• 2+ years experience programmingin Python and experience with machine learning frameworks (e.g., TensorFlow,PyTorch).

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+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldAND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• 3+ years demonstratingproficiencyin real world applications of Foundation Models, domain adaptation of Foundation Models (e.g.fine-tuning LLMs/SLMs), Agentic Systems, Natural language processing, Prompt tuning.
• 3+ years experience programmingin Python and experience with machine learning frameworks (e.g., TensorFlow,PyTorch).
• Demonstrated ability to think unconventionally to derive creative and innovative solutions especially for ambiguous projects with incomplete data.
• Expertisein incubation and experimentation, with a focus onleveragingbehavioral collaboration data to solve strategic business problems.
• Problem-solving skills and ability to join qualitative and quantitative thinking with an obsession for improving our customer experience.
• Demonstrated experience communicating complex analysis & insights to senior leaders, business decision makers, practitioners or academic researchers.
• Published research in top-tier AI/ML or HCI/HAI conferences (e.g.,NeurIPS, ACL, CHIetc).

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Develop business and product requirements: Work closely with Product Managers and Engineering teams to incorporatestate-of-the-artAI research to formulate plans that will meet business goals and customer needs. Deeply engage with ongoing product development to ensure andfacilitateintegration of AI research into the product lifecycle.
• Conductcutting-edgeapplied AI research: Understand tools, technologies, and methods being used in the AI community that can beutilizedto improve product quality, performance, or efficiency. Analyze latest innovations in the academic AI research community and join with market trends to influence future product vision inPeople Skills and accelerate new investments.
• Explore opportunities for innovation leading to high product impact and publish your work in top-tier conferences and journals.
• Ensure customer-centric approach: Ensure that AI research and product development are aligned with customer needs and expectations. Engage with customers to gather feedback andinsights, andincorporate these into the research and development process to enhance product relevance and satisfaction.
• Collaborate with cross-functional teams: Work with applied scientists, researchers, engineers, designers, and product managers to drivePeople Skillsprojects through their entire life cycle from idea creation through user need establishment, scientific literature review, rigorous science experiments, evaluation and customer validation of concepts, integration into product workstreams, general availability and iterative improvement to reach desired outcomes for our customers.
• Collaborate on AI research: Work with researchers throughout the company to explore open questions pertinent to the product at various stages of impact;identifypaths to transfer AI research results into product features and create cross-org workstreams to influence product directions for greater impact.
• Mentor anddemonstrateleadership: Mentor others,demonstrateleadership capabilities,participatein onboarding new team members, collaborate with the academic community, andidentifynew AI research talent to join Microsoft.
• Uphold AI credibility