Overview

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The Copilot Pages and Notebooks Ecosystem (CoPANE) team brings customers the best tools and experiences needed to collaborate with Copilot, agents, and their teammates to transform the way they work and achieve their goals. Imagine effortless capturing your ideas in rich, collaborative canvases, reasoning over large amounts of diverse data with ease to better collaborate and coordinate with your coworkers and seamlessly working across the M365 ecosystem in whichever way is best for you (whether through Chat or through canvas). 

As an Applied Scientist - Copilot Pages and Notebooks working in the CoPANE team, your core mission will be to deliver quality AI scenarios for the Pages and Notebooks modules in M365 Copilot. You’ll be responsible for working with other Applied Scientists to design and implement AI-powered experiences and measuring the impact of models. We are looking for candidates who are creative, self-motivated, & have a learn-it-all mindset. This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with different product teams and shipping products globally. You’ll have access to the latest models, and research techniques that can be leveraged to advance your Applied Science skills.

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

• You will gain knowledge in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.
• You will apply strategies provided by other team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain skills in a deeply specialized area.
• As you reinforce a positive environment by applying proven practices, you will also support mentorship and assist with the onboarding of early in career team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.
• You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information.

Embody our culture and values. 

Qualifications

Required 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. 

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.
• 2+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 2+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 2+ years experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics.
• 2+ years experience in Python and familiarity with coding in multiple languages. 

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

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.