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Senior Applied Scientist
Redmond, United States
Senior Applied Scientist
Redmond, Washington, United States
Date posted
Oct 08, 2025
Job number
1891648
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time
Overview
As a Senior Applied Scientist for the Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your experience in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience.
We are in an era of unprecedented innovation and openness. As Microsoft continues to advance AI, we are seeking individuals to help address some of the most exciting topics in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. Join us in shaping the future of AI agents.
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.
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 of experience with Generative AI or Large Language Model/Machine Learning algorithms.
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:
- Experience with Machine Learning Operations Workflows, including continuous integration and continuous delivery/deployment (CI/CD), monitoring, and retraining pipelines.
- Experience with modern Large Language Model Operations frameworks (e.g., LangChain, PromptFlow).
- 3+ years of experience publishing in peer-reviewed venues or filing patents.
- 3+ years of experience conducting research in academic or industry settings.
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: US corporate pay information | Microsoft Careers
Microsoft will accept applications for the role until October 22, 2025.
Responsibilities
- Build collaborative relationships with product and business groups to deliver AI-driven impacts.
- Research and implement state-of-the-art technology using foundation models, prompt engineering, Retrieval-Augmented Generation (RAG), graphs, multi-agent architecture, and classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets.
- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and return on investment analysis.
- Build rapid AI solution prototypes and contribute to production deployment of these solutions, debug production code, and support MLOps/AIOps.
- Demonstrate deep experience in AI subfields (e.g., deep learning, Generative AI, Natural Language Processing (NLP), muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product and business impact.
- a deep understanding of fairness and bias in AI by proactively identifying ethical and security risks including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns to ensure equitable and responsible outcomes.
- Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.
- Embody our Culture and Values.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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