Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

204734300

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, 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, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 5+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 5+ year(s) experience developing and deploying live production systems, as part of a product team.
• 4+ years experience working with a modern, high performance machine learning frameworks, such as PyTorch, MLX, Tensorflow, etc.

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:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).

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

Your responsibilities include driving training and inference improvement to advance state-of-the-art speech technologies for real world user scenarios. Specifically, you will

• Drive large scale production model training framework development to support latest technologies and improve throughput.
• Drive model inference optimization and system integration to reduce cost and latency.
• Collaborate with runtime engineering team and modeling team to improve agility and productivity.