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Job Details
Posted date: Aug 14, 2025
There have been 101 jobs posted with the title of Applied Scientist all time at Microsoft.There have been 101 Applied Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $158,000
Range: $100,600 - $215,400
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
Outlook is one of the most widely used communication and productivity tools in the world, and Copilot is transforming how millions of users engage with it through the power of AI. As an Applied Scientist, you will play a critical role in advancing our Outlook's Co-pilot efforts in the areas of Large Language Model (LLM), Prompt Eng, Evaluation, Relevance and Responsible AI (RAI). This multifaceted role is responsible for developing an end-to-end infrastructure and measurement framework, fostering cross-functional collaboration, and leveraging data science and AI expertise to guide decision-making. The candidate will work with multiple large organizations and stakeholders to drive the evaluation of our LLM systems and associated components.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.
Strategic Leadership: Develop and execute a comprehensive strategy for LLM evaluation, encompassing LLM quality, costs, model performance, model utility (user experience and prompt effectiveness), and responsible AI considerations, in alignment with company-wide efforts and informed by emerging research.Program Management: Oversee and manage large-scale, cross-functional evaluation programs, ensuring alignment with organizational objectives and timelines. Develop and maintain a robust measurement framework to track and report on LLM performance and user impact. Drive engineering product roadmap to construct automated evaluation pipelines integrated into the product workflow.
Data Science Expertise: Utilize strong data science skills to design experimentation, analyze data, create OKRs, create measurement and metrics, and derive actionable insights to enhance LLM systems. Responsible for influencing product and user experience based on evaluation results.
Model and Prompt Evaluation: Lead efforts to assess and improve the performance and effectiveness of language models and prompts, driving iterative enhancements, including synthetic and manufactured data creation.
User Experience Enhancement: Collaborate with User Experience teams to evaluate and optimize user interactions with AI systems, enhancing user satisfaction.
Responsible AI (RAI): Implement RAI principles and guidelines in AI systems, ensuring ethical and unbiased practices in model development and deployment.
Contribute to the LLM research body: form partnerships and lead deep research initiatives in areas of LLM evaluation and user experience optimization that contribute to the scientific body and deepen the product team's understanding and expertise of user mental models of and alignment to LLM-powered experience.
Cross-Functional Collaboration: Work with engineering, research, product, and other teams to ensure seamless integration of evaluation processes into the development lifecycle.Other
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 fieldOR equivalent experience.1+ year(s) experience in data science, machine learning, experimentation, and AI, with a strong track record of delivering impactful results.1+ year(s) experience of LLM in finetuning, evaluation techniques, implementing RAG techniques and industry best practices.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:
Understanding of Responsible AI (RAI) principles.Ability to work in a fast-paced and dynamic environment.Aanalytical and problem-solving skills.Competent communication and presentation abilities.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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