Microsoft Applied Scientist II Microsoft AI Development Acceleration Program Redmond 

Taiwan, Taoyuan City 

319415134

• 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.
• 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 5+ 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+ years related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate 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 equivalent experience.

• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

• A publication record in any of the following or related modeling paradigms: LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning/fair and interpretable AI/optimization for machine learning.
• Experience in any of the deep learning frameworks, systems, or big-data application solutions, along with application experience in language, speech, vision, graphics, gaming, or recommendation.
• 2+ years experience and proven knowledge 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.

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

• Research, develop, and lead the implementation of 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.
• Patent and publish relevant IP and scientific research.