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Responsibilities
As an Applied ML Engineer, you will
Work with Small Language Models (SLMs), agents, and multimodal AI systems to develop, evaluate, and deploy detection capabilities that operate at Microsoft scale.
Help transform research into production solutions that improve customer protection.
Responsibilities include: Design, develop, and evaluate AI-driven detection capabilities using SLMs, agents, multimodal models, and emerging machine learning technologies to identify evolving threats and abuse patterns. Partner with research, engineering, and product teams to translate new ideas into production-ready solutions that deliver measurable customer impact at scale.
Own key aspects of the experimentation and evaluation process, including defining success metrics, designing studies, analyzing results, and making data-driven recommendations.
Drive deep analysis of model behavior, efficacy, coverage, and operational performance, identifying opportunities to improve customer protection and system efficiency.
Collaborate across teams to influence technical direction, share learnings, and contribute to a culture of innovation, scientific rigor, and continuous improvement.
Qualifications
Minimum 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.
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 background and 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).
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 experience with modern AI systems, including LLMs, SLMs, agents, multimodal AI, or related technologies Demonstrated ability to drive problems from idea to measurable customer impact.
Experimentation, evaluation, and data-driven decision-making skills
Curiosity, learning agility, and a passion for exploring emerging technologies to solve real-world customer problems.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
