Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

656257411

This role is flexible in that you will be able to partner with your manager to define the way that you’d like to work, whether in the office or from home.

Required Qualifications:

• Bachelor's Degree in Statistics, 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, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years of SFT (Supervised Fine Tuning) and/or RL (reinforcement learning) modeling experience.
  
• 6+ years of Python coding skill.

Other Requirements:

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:

• Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of moderm reinforcement learning, reasoning and CoT (Chain of Thoughts)optimization, and Large Language Models.
• Synthetic data generation for supervised fine tuning, rewards model training, PPO (Proximal Policy Optimization), and other reinforcement learning
• Push the boundaries of AI platforms through innovation and partnership.
• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
• Collaborate closely with Microsoft Research, Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
• Support and develop a thriving applied science culture within the MSAI organization to encourage experimentation, scientific process, and innovation.