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Principal Applied Scientist

Teknik, data och digitalt · Data, AI och analys · Datavetenskap

I korthet

Microsoft Security's CogAgents Research team is seeking a Principal Applied Scientist to lead the design and development of autonomous red teaming agents. This role involves applying deep learning, LLMs, and graph-based models to discover and exploit system vulnerabilities at scale, with a focus on rigorous evaluation and continuous improvement.

Ansvarsområden

  • Design and build autonomous red-team systems and agents that discover, exploit, and report vulnerabilities in apps and digital infrastructure at scale.
  • Develop agentic workflows leveraging coding agents, RAG, domain knowledge repositories, and tool-integrated agents to accelerate the development, evaluation, and continuous improvement of red-team agents and systems.
  • Design reusable data processing frameworks, canonical data models, and data contracts that accommodate evolving red teaming and business requirements.
  • Lead architectural decisions across cloud data platforms, distributed compute engines, data lakes, streaming and batch processing, and analytical serving systems, balancing data freshness, correctness, performance, and cost.
  • Streamline red-team agent development through automated pipelines for code reviews, failure triage, root-cause analysis, and operational knowledge discovery.
  • Establish governance and quality guardrails for red team agents including automated testing, correctness validation, security reviews, and production-readiness checks.
  • Embody our culture and corporate values.

Krav

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Master's Degree AND 5+ years data-science experience OR Bachelor's Degree AND 7+ years data science experience OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Önskade kvalifikationer

  • 10+ years technical engineering experience with coding in languages including, but not limited to Scala, Python, C#, Java OR equivalent experience.
  • 3+ years of experience in deep learning and development of advanced AI systems and agents.
  • Practical experience applying AI coding assistants, LLMs, and agentic workflows to software development, code modernization, testing, and engineering automation.
  • Experience in RAG, embeddings, semantic search, tool calling, and agent orchestration, with experience implementing appropriate security, correctness, reliability, and human oversight controls.
  • Demonstrated understanding of statistical analysis, time-series analytics, anomaly detection, and forecasting.
  • Extensive experience in data modeling, analytical data systems, and SQL-based data analysis, including translating ambiguous business requirements into actionable metrics and insights.
  • Expertise in architecting, building, and operating production-grade, cloud-native data platforms using Microsoft Fabric, Azure Synapse, Azure AI Foundry, Azure Machine Learning, or equivalent technologies.
  • Proven ability to lead cross-team technical initiatives, influence architecture and engineering strategy, navigate ambiguity, and deliver measurable business outcomes.
  • Deep proficiency in Apache Spark, Delta Lake, distributed systems, SQL, or large-scale batch and streaming data processing.

Förmåner

  • The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year.
  • For specific work locations in the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $188,000 - $304,200 per year.
  • Certain roles may be eligible for benefits and other compensation.
  • Applications accepted on an ongoing basis until the position is filled.

Färdigheter

deep learninglarge language modelsgraph-based modelsmachine learningPythonScalaC#JavaRAGembeddingssemantic searchtool callingstatistical analysistime-series analyticsanomaly detectionforecastingdata modelingSQLMicrosoft FabricAzure SynapseAzure AI FoundryAzure Machine LearningApache SparkDelta Lakedistributed systems
#red teaming#security#applied science#machine learning#data science#agents#vulnerabilities#exploitation#cloud#AI#LLM#autonomous systems
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Företag

Microsoft

Publicerade jobb

för 2 dagar sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Lön

142 800–274 800 US$ · Förhandlingsbar

Erfarenhetsnivå

Senior

Platser

United States

Kvalifikation

Doktorand, Masterexamen, Kandidatexamen

Sökande

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