Microsoft Applied Scientist 

Taiwan, Taoyuan City 

955205999

Required 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 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.
• Experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and Reinforcement Learning (RLHF)
• Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering.

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 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.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.
• Experience delivering successful, large-scale applied ML projects in an industry setting.
• Deep understanding of fundamental ML algorithms (supervised, unsupervised) and modern neural network architectures.
• Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning.
• A record of publication in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD).
• Ability to translate complex ML concepts into business value and communicate technical insights to non-technical stakeholders.

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

• Lead applied research projects that advance the state-of-the-art in GenAI and directly impact Microsoft's core productivity products.
• Collaborate closely with product, engineering, and design teams to translate research breakthroughs into practical, high-value applications.
• Serve as a bridge between research and product, effectively communicating complex concepts and project progress to ensure stakeholder alignment.
• Mentor colleagues and champion research best practices, sharing your expertise in state-of-the-art machine learning techniques.
• Work iteratively in a research environment, developing new hypotheses and demonstrating the ability to learn from unexpected or ambiguous outcomes.
• Share research findings through publications, presentations, and internal forums to influence both the scientific community and internal product strategy.
• Effectively communicate with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.