Microsoft Senior Applied Scientist - Viva Insights Team 

Taiwan, Taoyuan City 

78352043

In this role, 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, Organizational Behavior, Human-Computer or Human- AI Interaction, Computational Social Science 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, Organizational Behavior, Human-Computer or Human- AI Interaction, Computational Social Science 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, Organizational Behavior, Human-Computer or Human- AI Interaction, Computational Social Science or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ 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.
• 3+ years experience programmingin Python and experience with machine learning frameworks (e.g., TensorFlow,PyTorch).

Preferred Qualifications:

• raduate Degree inOrganizational Behavior, Human-Computeror Human-AIInteraction, Computational SocialScienceor related field (Ph.D.preferredbutMaster’sdegree holders with demonstratedtrack recordin research publications will be considered).
• 4+ years experience demonstratedproficiencyinreal worldapplications of Foundation Models,domainadaptation of Foundation Models (e.g.fine-tuning LLMs/SLMs),Agentic Systems, Natural language processing, Prompt tuning.
• 4+ 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).

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

• business and product requirements:Work closely with Product Managers and Engineering teams toincorporatestate-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.Analyzelatestinnovations in the academic AI research community and join with market trends to influence future product vision in Viva Insights 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 driveViva Insightsprojects through their entire life cycle from idea creation throughuser need establishment, scientific literature review,rigorous science experiments, evaluationand customer validation ofconcepts,integration into product workstreams,generalavailabilityand iterative improvement to reachdesired 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.
• UpholdAI credibility: Establish credibility for Microsoft both internally andexternally