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Microsoft Principal Applied Science Manager 
United States, Washington 
572231876

30.07.2024

The Product

towards our shared mission of delivering a highly innovative, AI powered experience that is positioned to fundamentally change what business applications look like in the future.

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.
  • 1+ year(s) people management experience
  • 1+ years experience with leading Machine Learning projects and managing team of data scientists.

Preferred Qualifications

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 5+ years experience writing production code as well as deploying and maintaining shipped models over time.
  • 2+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases
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 Aug 1, 2024.
Responsibilities
  • Lead, build, grow and support an innovative applied science team
  • Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
  • Push the boundaries of AI platforms through innovation and partnership.
  • Develop and deploy conversational and language understanding models at scale.
  • Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
  • Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
  • Collaborate closely with Microsoft Research and product teams to create the next generation of AI innovation in our products and services. · Embody our culture and values
  • Embody our