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Microsoft Applied Scientist LLM 
Taiwan, Taoyuan City 
702443369

02.09.2025

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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.
  • Hands-on experience with Large Language (LLMs), including evaluation techniques, prompt engineering, model fine-tuning.
  • 1+ years of experience in applied science or machine learning, natural language processing (NLP), or AI systems.


Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical, orComputer Engineering,
    • OR related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical, orComputer Engineering,
    • OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical.
  • Exceptional analytical and problem-solving skills with a track record of tacking complex challenges.
  • Solid communication and presentation abilities, capable of conveying technical concepts to diverse audiences.
  • Proven experience across the product lifecycle from ideation to shipping.
  • Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, ACL), demonstrating thought leadership and technical depth.
Responsibilities
  • Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of language models and prompts and drive iterative enhancements.
  • Deliver high-impact analyses that generate actionable insights to steer product and business decisions and improve user satisfaction.
  • Collaborate closely with engineering, research, product, and other teams to ensure AI-driven experiences meet quality and user experience standards.
  • Analyze latest AI innovations and explore opportunities to apply cutting-edge techniques for building scalable, high-impact solutions that enhance product capabilities and deliver exceptional user experiences.

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