Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

603160456

• Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy
  
• Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models.
  
• Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
  
• Experience implementing machine learning algorithms or research papers from scratch
  
• Solid experience with TensorFlow/PyTorch and deep learning models is a prerequisite.

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.

• You will master one or more subareas and gain expertise in a broad area of research. You’ll use your expertise to identify appropriate techniques for examining a problem and foster an audience for the product based on your understanding of the industry.
• You will review business and product requirements, identify problems, and develop strategies to resolve team problems.
• You’ll develop an understanding of tools and methods being used in the community and hold team members accountable to support business impact.
• You will share industry and competitive insights and build capabilities through coaching. You’ll provide guidance around best practices and collaborate with the academic community to develop the recruiting pipeline.
• You will document scientific work to ensure processes are captured. You’ll also contribute to ethics and privacy policies related to research processes by providing updates and suggestions around best practices.