Microsoft Principal Applied Science Manager 

United States, Washington 

572231876

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

• 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