Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

740735789

and multi-disciplinary group of scientists,and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements inCopilot, VS Code, Visualand other Microsoft Copilots.

Senior Applied Scientist.As an Applied Scientist, you will play a pivotal role indevelopment and application of advanced data science techniques—especially those involving LLMs—to real-world developer workflows.. You will have the opportunity to design and lead experiments, build and evaluatemodels (including RAG pipelinesand evaluation frameworks), turning insights into scalable product features. Most importantly,play a key role in bridgingresearch and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empowerand collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Minimum Qualifications:

• degree in Computer Science, Engineering, Mathematics, Statistics.

• +yearsexperiencewith strongproficiencyinPython, machine learning frameworks,and experience developing and deploying generative AI or machine learning models into production. (Experience withadditionalprogramming languages is a plus but notrequired.)

Preferred Qualifications

• or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significantappropriate experiencewill be considered).

• Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.

• Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.

• Experience with LLMs in natural language, AI for code or related fields

• Excellent communication skills, ability to present andwritereports, strongteamworkand collaboration skills.

• Experience in productizing AI and collaborating with multidisciplinary teams.

• esearchand productization ofstate-of-the-art inAI for Software Engineering.

• Build and manage large-scale AI experiments and models.

• Drive experimentation through A/B testing and offline validation to evaluate model performance.

• and geographieswith product teamsinMicrosoft andGithub,integrate AI across software development stack for Copilot.

• Stay up to date with the research literature and product advances in AI for software engineering