Senior Applied Scientist

About the job

Overview Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true 'second brain.' Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission. As a Senior Applied Scientist working in OneNote team, your core mission is to contribute on the development of AI features of Copilot Notebooks and OneNote. You’ll be responsible for making sure the State-of-the-Art AI models and capabilities are integrated appropriately with the product to provide value for the customers. Responsibilities • Work within and across teams to solve complex technical challenges. • Develop best practices around integration of state-of-the-art AI models to build product capabilities and AI features. • Write production-quality code, apply debugging best practices, and stay current with industry trends. • Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products. • Shape product direction by integrating rigorous scientific methods into the product lifecycle. • Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. • Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices. • Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven. Qualifications Required/Minimum Qualifications: • Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). • OR equivalent experience. • At least 4+ years of experience in predictive analytics, statistics, or research. • Experience with synthetic data generation and data management for evaluation/training. • At least one year of experience publishing patents or peer-reviewed papers. • Proficiency in English and cross-functional collaboration. • Deep motivation for user-centric AI and interest in human cognition, memory, and AI. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: • Prior experience of working with LLM and Gen AI models. • At least 6+ years of experience in predictive analytics, statistics, or research. • Prior experience of working production grade applications by making use of AI models. • Expertise and exposure around the latest developments on the latest developments around the LLM and Gen AI models.