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Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people. As a **Senior Applied Scientist** in Microsoft’s productivity division, your core mission will be to deliver exciting innovation in Microsoft Copilot that drives customer adoption and usage. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. The successful applicant(s) will collaborate closely with people across Microsoft’s product teams to see their ideas realized in products and services that are used worldwide.

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

+ Defining, leading, and helping to conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft’s core productivity products.

+ Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders.

+ Generating ML / AI based models that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers.

+ Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices.

+ Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating.

+ Sharing project outcomes and insightswith 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 throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.

Qualifications

Required 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.

+ Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes.

+ 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

+ 3+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics.

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 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 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 2+ years related experience (e.g., statistics, predictive analytics, research)

+  OR equivalent experience

+ Experience working on successful applied research projects in industry environments.

+ Experience coding and hands-on experience working with foundation models.

+ Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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

Microsoft will accept applications for the role until August 4th, 2025.

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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .