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Overview

Join an innovative team that delivers core Copilot Shared Services for our flagship Office Apps such as Word, Excel, and PowerPoint. Our mission is to deliver the next generation of personalized Copilot experiences leveraging best of breed Microsoft technologies across Copilot Platform, Microsoft Substrate, and beyond. Consider this opportunity to advance our approach in ways that benefits millions of people. We will achieve this through innovation and vision for our next-gen solutions, connecting key partnerships across Microsoft, and influencing best-of-breed advancements leveraging AI technology.

Within Copilot Shared Services, we apply new foundational LLMs, create advanced ML techniques, develop rich algorithms, and leverage AI and the skills of Applied Science to accelerate developmental advancements and improve quality of our customer experiences. We invest in agentic solutions and are working to advance methods of evaluation and automated customer solutions.

We are looking for a **Senior Applied Scientist** to join our team to help establish the vision of the future. In this role, you’ll work closely with engineers, program managers, data scientists and applied scientists to improve our approach to personalized experiences, best leverage and fine tune foundational models, advance evaluation techniques, and improve engineering productivity.

If you're excited about an opportunity to advance applied AI and making a difference in the future of Copilot for Office apps, we’d love to hear from you.

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

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

+ Formulation of advanced prompt engineering, selecting and fine-tuning LLMs, designing and managing evaluation datasets, develop concepts for more efficient and accurate solutions, and researching and assessing different architectures and approaches from across the M365 ecosystem.

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

+ Generate 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.

+ Teach, guide, and tutor 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.

+ Share project outcomes and insights 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 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.

+ 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

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

+ 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

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