Principal Applied Science Engineering Manager

The Product

The rapid growth of the Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio, Power BI), is fueled by organizations across the globe investing in leveraging low-code/no-code development models to accelerate their digital transformation ambitions. Power Platform is a strategic new growth area for Microsoft, but more importantly, it is a disruptor technology that is giving "Citizen access" to broader set of users in an enterprise, to create next generation of business productivity software via radically simplified experience and without requiring extensive and costly training. It is transforming careers of 'citizen developers', making pro-developers far more productive and helping IT finally innovate at the pace that their businesses expect. To boost Power Platform to scale to hundreds of millions of users, we are investing in Power Pages– a product within Power Platform suite currently used by customers to enable collaboration with users both internal and external to their organizations. We are early in our journey to innovate on Power Pages product and shape it into a thriving standalone customer-facing business to drive incremental revenue and value for Power Platform. We are innovating and iterating at a very rapid pace. To further accelerate the momentum in this space – bringing AI powered experiences to the business application space changing how people work - we continue to grow our investments of generative AI capabilities and multi-modal AI rich experiences. Our goal is to shape Power Pages to be the #1 enterprise platform for creating and hosting business websites to drive usage to 1 billion users and incremental revenue and value for Power Platform.

The Team

We are a very dynamic and passionate team that fully embrace the build-measure-learn iterative development approach. We work towards the common goal of building a product customers love. As a natural part of our product design and development process we are working very closely with customers as well as listening to usage telemetry and other key signals which allow us to consistently evolve based on customer demand and adoption patterns. Deep collaboration across PM, Design, Engineering, and Science is a given and all disciplines play important roles as part of the product development process.

In Power Pages' Applied Science team, we are committed to innovation and the best-in-class AI experiences to enable millions of users access to personalized, dynamic and rich business websites. We foster a culture of diversity, collaboration, and innovation, valuing everyone's unique perspectives and contributions. Our agile, start-up-like environment encourages out-of-the-box thinking and empowers each team member to contribute 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.

The Candidate

We are looking for a Principal Applied Science Manger who can bring deep applied science experience and a proven track record of shipping at-scale AI-enabled intelligent systems to drive vision and innovation for Power Pages. As a Principal Applied Science Manager, you will be leading 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

• 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 Culture ) and Values )

Qualifications

Required :

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10 + 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 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 3+ year(s) people management experience
• 3+ years experience with leading Machine Learning projects and managing team of data scientists.

Preferred:

• 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.
• 4+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases

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 ) .