Principal Applied Science Manager at Microsoft

Project Sophia is a new generation business application, built ground up from market-disruptive, AI-first product principles. The product has been designed to completely re-define how complex, cross domain business problems are solved. Every interaction, every component and every user experience has been designed leveraging the full power and potential of generative AI and is taking the notion of AI based experiences way beyond the standard AI chat experiences.

Multi-modal concepts, combined with an emphasis of visual appeal and ease of use is empowering any business user to interact with an infinite, AI Powered Business Research canvas where users can explore and resolve any business question both within and across business domains. Powered by large language models and deep business domain expertise, Project Sophia will empower the user to build out research journeys, automatically suggesting relevant data sources and correlating insights, intelligently visualizing exploration outcomes and suggesting next actions in the research journey. Project Sophia represents the new way of doing business, enabling strategic business decision making in a fraction of the time – filling a gap in the market where no app exists today.

We are in the very early stages of the product lifecycle and 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.

The Team

We are a small, but 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 Sophia’s Applied Science team, we are committed to innovation and the best-in-class AI experiences to gain insight into strategic business questions. We foster a culture of diversity, collaboration, and innovation, valuing everyones 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 Project Sophia. 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

Qualifications

Required Qualifications

• Bachelors 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 Masters 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

• Masters 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

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Microsoft will accept applications for the role until September 21, 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