Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

975380209

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• SFT (Supervised Fine Tuning) and/or RL (reinforcement learning) modeling experience.
• Python coding skill.

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:

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

Preferred Qualifications:

• Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like reinforcement learning, reasoning and Chain-of-Thought (CoT) optimization, and LLMs—all while upholding best practices in Responsible AI and Privacy-Preserving ML.

• Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture.
• Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications.
• Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter.
• Lead and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group.
• Define success: Establish and evolve success metrics that reflect platform and product growth.
• Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required.