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Microsoft Principal Applied Scientist 
United States, Washington 
621246070

25.06.2024

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:

12, 2024.

Responsibilities
  • 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