Applied Scientist II

As an Applied Scientist - AI forBusiness & Industry CopilotFoundationsteam, you will play a pivotal role in advancing Microsoft's mission. You will contribute to the development and integration ofcutting-edgeAI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.

You will collaborate acrossproduct,researchand engineering teams to bring innovative solutions to life, applying yourexpertisein machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customerexperience.

Microsoft is driving innovation in Artificial Inteligence (AI) and building an open architecture platform that empowers users with tailored AI for real-world impact. We are seeking an Applied Scientist - AI who combines expertisein AI and applied science, embraces a growth mindset, anddemonstrates customer empathy to help shape the future of AI.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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.

• Build collaborative relationships with product and business groups to deliver AI-driven impact

• Research and implementstate-of-the-artusing foundation models, prompt engineering, graphs, multi architectures, as well as classical machine learning techniques.

• Fine-tunefoundation models using domain-specificdatasets.Evaluate model behavior on relevance, bias, hallucination, and response qualityvia offline evaluations, shadow experiments, online experiments, and Retun On Investment(ROI) analysis.

• Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, supportMLOps/AIOps.

• Ability to use data toidentifygaps in AI quality, uncoverinsightsand implementPoCsto show proof of concepts.

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)
• • ORMaster's Degreein 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.
• 1+ years of experience working with generative artificial intelligence or large language model and machine learning algorithms.

Other Requirements:

• Abilityto meet Microsoft,customerand/or government security screening requirementsarerequiredfor this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will berequiredto 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 5+ years related experience (e.g., statistics, predictive analytics, research)
• • ORMaster'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.
• 3+yearsof experience developing and deploying live production systems
• 2+ years of experience working with Generative AI models and Machine Learning (ML) stacks
• 1+yearsexperiencecreating publications (e.g., patents, peer-reviewed academic papers).
• 1+ years of experience conducting research in academic or industry settings
• Experience withMLOpsWorkflows, including CI/CD, monitoring, and retraining pipelines.
• Familiarity with modernLLMOpsframeworks (e.g.,LangChain,PromptFlow)
• Experience across the product lifecycle from ideation to shipping

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

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.