Microsoft Applied Scientist 

Taiwan, Taoyuan City 

116807211

and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, moreopenness in a cloud-enabled world.is responsible forthe Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of businessand this organization is at the heart of how business applications are designed and delivered.

Applied Scientist

Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient,and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in MicrosoftAI ERP.You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.

in generative AI, software engineering skills, technical aptitude, communication skills and a collaborative working style.The scientistshould focus on evaluation metrics to make purpose-built LLMsto infuseproductivity scenarios. Additionally,they should be comfortable with the end-to-endML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. As part of the role, they will also work with a globally diverse team of applied scientists and engineers whoare buildingAI platforms,and products.They are expected to drivemindset and embrace the rapidly evolving innovations and breakthroughs in this field.

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, into empower others, and 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.

• Educational Background:

• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technicalfields(e.g., mathematics, physics, statistics, or similar).

• + years of experience working with machine learning libraries to solve real world data science problems

• in Python, scripting, AIefficiency tools.

• Experience in large language model architectures (e.g.Transformer,etc).

• Strong foundationinclassical machine learning techniques andstatistics.

• Prior experience in model and experimental evaluations like A/B testing, shadowtestingetc.

• xperiencehandlingreal-world noisy data.

• Demonstratable experience with software engineering principles, parallel/distributed computing,andcloud technology platforms(e.g.Azureetc.)

• with object-oriented programming practices.

• Problem-Solving:

• Ability to understand complex business contexts and solve open-ended problems.

• Proactive mindset focused onoptimizingsolutions for business impact.

• , plan,and execute experiments to evaluate models, datasets, and metrics for product impact.

• ,evaluate,and assess evaluation metrics, including fairness and bias, contributing to ethical AI and privacy policies.

• ocumentresults/progress and share findings to promote innovation.

• Conduct model and experimental evaluations including A/B testing, shadow testing, and other validation techniques.

• Implement and fine-tune neural network architectures, including transformer-based models.

• Work on frontier models to push AI innovation boundaries.

• cutting-edgeML technologies into products.

• andplatformteams to design AI-powered experiences.

• Build and deploy ML models, develop data pipelines, and manage training/test datasets.

• ork collaboratively with cross-geo teamsat flexible hours while fostering a healthy and inclusive environment.