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Microsoft

Builds workplace software, PCs and cloud services

Principal Applied Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$142.8k - $304.2k /yrIn-person

About the Job

Requirements

  • A Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a quantitative field such as Physics, Chemistry, or Biophysics, and 6 or more years of related experience; or a Master's Degree in those fields and 4 or more years of related experience; or a Doctorate in those fields or a related field and 2 or more years of related experience; or equivalent experience.
  • Meet Microsoft, customer, and/or government security screening requirements, including passing a Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
  • A Master's Degree in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a related field and 9 or more years of related experience; or a Doctorate in those fields or a related field and 6 or more years of related experience; or equivalent experience.
  • Five or more years of experience creating publications, such as patents, libraries, or peer-reviewed academic papers.
  • Two or more years of experience presenting at conferences or other events in the outside research or industry community as an invited speaker.
  • Five or more years of experience conducting research as part of an academic or industry research program.
  • Three or more years of experience developing and deploying live production systems as part of a product team.
  • Three or more years of experience developing and deploying products or systems at multiple points in the product cycle, from ideation to shipping.
  • Experience building machine learning or artificial intelligence solutions in Python, C#, C++, or R, using modern machine learning frameworks such as PyTorch or scikit-learn, or large language model-based tools and application programming interfaces.
  • Working knowledge of SQL or a similar query language.
  • Ability to explain technical work clearly to non-specialist audiences and work across engineering, product, and research teams.
  • Experience building large language model-powered applications and agentic systems, including tool use, retrieval-augmented generation, multi-agent orchestration such as Microsoft Agent Framework, Semantic Kernel, AutoGen, or LangGraph, and production evaluation of agent quality, cost, and latency.
  • Experience with anomaly detection, root-cause analysis, AIOps, or automated incident mitigation.
  • Experience with time-series forecasting.
  • Experience taking machine learning systems from prototype to production, including pipelines, monitoring, and operating services in the cloud.
  • Experience with large-scale data platforms such as Azure Data Lake, Spark, Kusto, or Hive.
  • Familiarity with mathematical optimization or operations research.

Responsibilities

  • Build artificial-intelligence-driven automation, including agentic systems, to manage infrastructure capacity and health at runtime.
  • Develop models that detect anomalies and emerging issues in large-scale telemetry, often before they affect customers.
  • Build systems that perform automated root-cause analysis by reasoning across signals, logs, and dependencies to pinpoint causes of failures.
  • Design automated mitigation that closes the loop from detection to resolution and reduces reliance on manual intervention.
  • Develop and scale forecasting models and pipelines to predict capacity needs across Microsoft 365 and Copilot.
  • Design machine learning and mathematical optimization models that improve service efficiency, reliability, and performance.
  • Take ideas from prototype to production, turning research into durable systems the business depends on.
  • Work with engineering, product, and research teams to set priorities and deliver results.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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