Microsoft Principal Applied Science Manager 

Taiwan, Taoyuan City 

364720806

Key responsibilities include designing and managing experiments, developing and evaluating advanced models such as RAG pipelines and fine-tuning frameworks, and translating research outcomes into scalable product features. Additionally, the role bridges research and production by applying data-driven methodologies to guide decisions, optimise processes, and deliver quantifiable results at scale.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
  • OR equivalent experience.
• 1+ year(s) of people management experience.
• Solid professional experience in statistics, machine learning, including deep learning, NLP, econometrics.
• Excellent communication skills, ability to present and write reports, solid teamwork and collaboration skills.
• Experience in productizing AI and collaborating with multidisciplinary teams.
• Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.

Preferred Qualifications:

• Experience in building large scale recommendation systems and experience working with big data stack for data processing and data science.
• Published work in top-tier conferences & journals.

• Lead, mentor and grow a diverse world-class team of applied scientists, engineers and researchers.
• Lead research and productization of follow-on suggestions in AI assistants and Search by creating clarity, generating energy and delivering user value.
• Build, refine and deploy machine learning models to solve NLP tasks and productizing the solutions at scale.
• Drive experimentation through A/B testing and offline validation to evaluate model performance.
• Collaborate across disciplines and geographies with product teams in Microsoft.
• Ensure solutions meet all security, privacy, and regulatory standards.
• Stay up to date with the research literature and product advances in AI for suggestion experiences.
• Contribute ideas and techniques to create and improve product quality metrics.
• Participate in planning, design, implementation and execution with a team of engineers, applied scientists and product managers.
• Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession.