Applied Scientist II
Microsoft
USD 100,600-199k / year
Posted on Oct 31, 2025
Applied Scientist II
Redmond, Washington, United States
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Date posted
Oct 30, 2025
Job number
1903789
Work site
4 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time
Overview
Microsoft AI Web Data team is looking for Applied Scientists to help us build the next generation platform for Bing and Microsoft AI. This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact.
An Applied Scientist II in this role would be someone who has proven skills in coding, and have experience in training machine learning/deep learning models, fine-tuning SLMs/LLMs, prompt and agent engineering, data preparation and cleaning, data analysis, Big Data pipelines.
In Web Data, we are on a mission to build the most vast and accurate model of the Web to power search and AI.
We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, and operating AI solutions.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
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.
- 2+ years of experience in machine learning, deep learning, NLP, or statistics.
- 1+ years’ experience in software development.
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.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
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 for the role until November 17, 2025.
#MicrosoftAI #MAI #BING
Responsibilities
- Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling.
- Building Big Data pipelines, creating ML and AI models for index selection, determining document quality, and spam detection.
- Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness.
- Designing and implementing methods for leveraging AI in platform and backend solutions.
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.