Overview

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The One Note 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 an Applied Sciences II working in One Note team, your core mission is to contribute on the development of AI features of Copilot Notebooks and One Note. 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.

This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You will be able to take part in the growth journey of incredible products like Copilot Notebook. You’ll have the opportunity to work teams developing the latest models, research and AI/ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc).

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- 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. Serving as a bridge between research and product.
• 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.
• Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.

Qualifications:

Required/Minimum Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research).
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
• OR equivalent experience.
• At least 2+ 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:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• Prior experience of working with LLM and Gen AI models.
• 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.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.