Join Our Team as a Principal Applied Science Manager at Microsoft

Microsoft Teams is the hub for teamwork, integrating 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, and modern education value proposition. We are reinventing the way people communicate and work together worldwide, owning the infrastructure that enables the 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, accessing 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.

About the Role

We are seeking a Principal Applied Science 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 part of Microsoft Teams, you will work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will join 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, believing 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 areas of Large Language Models, Artificial Intelligence, Machine Learning, and Deep Learning.
• Provide technical leadership in these areas, guiding the development and deployment of conversational and language understanding models at scale.
• Push the boundaries of AI platforms through innovation and partnership.
• Advance 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 research progress, major breakthroughs, and product innovations both internally and externally through publications, presentations, and other media (e.g., blogs, press interviews).
• Embody our culture and values.

Qualifications

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND 6+ years of related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in the aforementioned fields AND 4+ years of related experience
• OR Doctorate in the aforementioned fields AND 3+ years of related experience
• 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 developing 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

• Master’s or Doctorate in Computer Science, Math, Statistics, or related areas with industry experience or a 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, understand team dynamics, and attract, retain, and develop team members
• Grounded in growth mindset and advocate for diversity and inclusion
• Customer-obsessed and passionate about product impact
• Strong verbal and written communication skills, with the ability to simplify and explain complex ideas

Compensation

The typical base pay