Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips.

Our team empowers users to have more effective and engaging meetings, chats, and collaborations by providing real-time assistance as well as getting information and accomplishing tasks in ways they never thought possible. We leverage the most advanced, large language models (LLMs) to develop cutting-edge Copilot products in Teams.

We are looking for a manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI. As a Principal Applied Science Manager in Microsoft Teams, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
• Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep 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.
• 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.
• Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.
• Embody our culture and values
  
  

Qualifications

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) of people management experience
• Experienced in managing research or engineering teams in Machine Learning, Natural Language Processing, or related fields.
• Technical background in coding and design, specifically in the development of AI models for scaled production services. Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
  

Preferred Qualifications

• Masters or Doctorate in Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
• Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• Grounded in growth mindset, and advocate for diversity and inclusion.
• Customer obsessed and passionate about product impact.
• Verbal and written communication skills, with the ability to simplify and explain complex ideas.
  
  

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until June 14, 2024.

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.