below marketmost similar roles pay hereabove market
This role pays less than
92%
of similar roles. Most pay
$188,950–$246,150
— the blue band above.
At the midpoint, this role pays about
$152k
versus about
$218k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
648 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
The Applied ML Engineer joins the Social Engineering Threats Research team to develop and deploy AI-powered security protections against phishing, fraud, and scams. Working at the intersection of research and engineering, the engineer transforms emerging technologies into production-ready solutions that protect users across email, collaboration, and messaging platforms. Key responsibilities include designing, developing, and evaluating detection capabilities using Small Language Models, agents, and multimodal AI systems. The role involves owning the experimentation and evaluation process, defining success metrics, and performing deep analysis of model behavior and operational performance. Candidates must possess skills in statistics, predictive analytics, or research, with specific experience in LLMs, SLMs, and multimodal AI. This role solves the critical business problem of identifying evolving social engineering threats in complex digital environments.
Develop and deploy detection capabilities using Small Language Models, agents, and multimodal AI systems.
Transform research into production-ready solutions to identify evolving threats and abuse patterns.
Design and evaluate AI-driven detection capabilities at a global production scale.
Own the experimentation and evaluation process by defining success metrics and designing studies.
Analyze model behavior, efficacy, coverage, and operational performance to improve system efficiency.
Provide data-driven recommendations based on the analysis of model results and performance.
Translate new AI ideas into measurable customer impact across various security platforms.
What we're looking for
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 2+ years related experience.
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 1+ year(s) related experience.
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
Equivalent experience to the above educational and experience requirements.
Ability to meet Microsoft, customer, and/or government security screening requirements, including a Microsoft Cloud background check.
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 5+ years related experience (preferred).
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 3+ years related experience (preferred).
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 1+ year(s) related experience (preferred).
1+ year(s) experience creating publications such as patents or peer-reviewed academic papers (preferred).
Applied experience with modern AI systems including LLMs, SLMs, agents, or multimodal AI (preferred).
Experience with experimentation, evaluation, and data-driven decision-making (preferred).