Microsoft Principal Applied Scientist 

United States, Washington 

118748099

Required/Minimum 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.

Preferred Qualifications:

• 4+ years of design and coding experience
• 4+ years of experience of large-scale machine learning
• Dedicated C#, or Java or Python or C/C++ coding skills
• Free thinkers with ability to socialize and drive their ideas into technology are highly desired.
• Ph.D. preferred but not required
• Exposure with federated learning, eyes of learning and knowledge of NLP

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

Microsoft will accept applications for the role until December 11, 2024.

• Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Develop and deploy conversational and language understanding models at scale.
• 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, Microsoft Turing, 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.
• Embody our