Microsoft Applied Scientist Microsoft AI Development Acceleration Program Cambridge 

Taiwan, Taoyuan City 

352287086

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Candidates must be available to start full-time in July 2026.

Preferred 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
  • OR equivalent experience.
• Experience in Machine Learning/statistics/LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms.
• Experience in Python/R/Scala or similar.
• Energized by creating AI solutions and the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
• Research publications are a plus.

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

• Research, develop, and implement AI solutions in application projects for Microsoft’s products and services.
• Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.
• Stay current with the latest research and technology and communicate your knowledge throughout the organization.
• Take responsibility for preparing data for analysis, reviewing data preparation/ETL code, and providing critical feedback on issues of data integrity.
• Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.