Microsoft · 2 hours ago
Principal Applied Scientist
Microsoft is a leading technology company dedicated to empowering individuals and organizations worldwide. They are seeking a Principal Applied Scientist to lead projects focused on AI and cybersecurity, collaborating with various teams to develop and productionize machine learning models and solutions.
Application Performance ManagementArtificial Intelligence (AI)Business DevelopmentData ManagementDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Lead independently projects focused on AI / Agentic research applied to cybersecurity problems aiming to translate ideas and prototypes into concrete product advancements or novel capabilities
Productionize AI & ML: collaborate with engineering and product teams to productionize models, pipelines, and meet objectives for latency, throughput, and availability. Develop fine-tuning techniques for transformer models and establish benchmarks for accuracy, robustness, and performance to ensure reliable model delivery
Identify and integrate diverse data sources, develop deep expertise across them, and surface new patterns and opportunities—communicating clear, compelling, data driven stories visually and verbally
Analyze largescale datasets and build robust, scalable feature engineering pipelines in PySpark based environment
Partner with AI, Engineering and Data scientist teams to build machine learning systems that identify anomalies, account compromise, fraud, and identity threats, leveraging GenAI and graph based approaches
Collaborate across Threat Research, Engineering, and Product teams to define and instrument metrics that demonstrate product and business success (e.g Detection Efficacy, Coverage, Timetodetect)
Embody our culture and values
Qualification
Required
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
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
Proven ability to design end-to-end data and feature pipelines (SQL, PySpark, Azure Data Studio) that ship robust, production ready ML models
Proven expertise in applying AI/ML systems and solutions to solve real cybersecurity problems
7+ years of hands-on experience with Spark/PySpark, Databricks, Azure ML, SQL/KQL, and strong programming skills in Python and/or C
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
5+ years experience conducting research as part of a research program (in academic or industry settings)
Comfortable working with complex, high-dimensional, multisource data; excels at data wrangling, enrichment, and quality assurance to solve hard, real world problems
Works cross-functionally with Data Scientists, Threat Researchers, Engineering, and Product to define metrics, measure outcomes, and improve customer value. Communicates insights visually and verbally, telling clear, compelling, datadriven stories to drive decisions
Applied expertise in classification, prediction, anomaly detection, optimization, graph ML, and NLP. Experience with Generative AI (prompt engineering, RAG, finetuning, responsibleAI practices) is highly valued
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7425)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Recent News
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