Microsoft Applied Scientist/Senior Scientist 

Taiwan, Taoyuan City 

729511565

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This position provides a supportive environment for those who excel in deep thinking, advanced development, and fast-paced entrepreneurial execution.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Confirmed experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small language model).
• Proven experience with productization or shipping ML and/or AI components at internet scale.
• Proficient in at least one programming language commonly used in machine learning (e.g., Python).

Other Requirements:

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 Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research)
  • ORMaster's Degree in Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Experience creating publications such as patents or peer-reviewed academic papers
• Demonstrated experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
• Proficient in building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).

• Conduct research and development to push the boundaries of model training, evaluation, and quality assessment for AI solutions.
• Fine-tune LLMs on tenant data to enable task-specific agents and solutions within the enterprise ecosystem.
• Collaborate with engineers and researchers to advance deep learning, natural language processing (NLP), multimodal models, and model optimization techniques.
• Measure, analyze, and report on model performance, quality, and impact using predictive analytics and statistical methodologies.
• Contribute to a culture of inclusion, respect, integrity, and accountability while fostering innovation and growth across teams.