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Applied AI Scientist II

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Multiple Locations

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Contract Type:
Not provided

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Salary:

100600.00 - 199000.00 USD / Year

Job Description:

Microsoft Sentinel Platform NEXT R&D labs is the strategic incubation engine behind the next generation of AI-native security products. We are looking to hire an Applied Researcher who thrives in a bottoms-up, fast-paced, highly technical environment. The Sentinel Platform team will be building cloud solutions meeting scales that few companies in the industry are required to support, that leverage state-of-the-art technologies to deliver holistic protection to a planet scale user base. Our team blends scientific rigor, curiosity, and customer obsession to deliver life-changing innovations that protect millions of users and organizations by building the next generation of Artificial Intelligence (AI)-native security products. We pursue long horizon bets while landing near term impact, taking ideas from zero-to-one (0→1) prototypes to Minimum Viable Products (MVPs) and then one-to-many (1→N) platform integration across Microsoft Defender, Sentinel, Entra, Intune, and Purview. Our culture blends ambition and scientific rigor with curiosity, humility, and customer obsession; we invest in new knowledge, collaborate across worldclass scientists and engineers, and tackle the immense challenge of protecting millions of customers. As an Applied AI Scientist, you will lead product-focused applied research and development (R&D) in artificial intelligence and machine learning, driving innovation from concept to production. You will work on a wide range of AI/ML challenges, including, but not limited to, model design, continuous training, optimization, evaluation, and deployment, collaborating with world-class scientists and engineers to deliver robust, scalable, and responsible AI systems for security applications.

Job Responsibility:

  • AI/ML Research: design, development, and analysis of novel AI and machine learning models and algorithms for security and enterprise-scale applications
  • Innovate Across Domains: Explore and apply a broad spectrum of AI/ML techniques, including deep learning, Bayesian probabilistic modeling, classical ML, generative models, and hybrid approaches
  • Experimentation & Evaluation: Design and execute experiments, simulations, and evaluations to validate models and system performance, ensuring measurable improvements
  • Collaboration: Partner with engineering, product, and research teams to translate scientific advances into robust, scalable, and production-ready solutions
  • Customer Impact: Engage with enterprise customers and field teams to co-design solutions, gather feedback, and iterate quickly based on real-world telemetry and outcomes

Requirements:

  • 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
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience OR Master's Degree AND 3+ years related experience OR Doctorate AND 1+ year(s) related experience OR equivalent experience
  • 1+ years working with Machine Learning (ML)/Artificial Intelligence (AI) systems (e.g., Large Language Models (LLM/LRM)/Generative AI (GenAI), retrieval/Retrieval-Augmented Generation (RAG), model serving, experimentation platforms, data pipelines) including establishing evaluation metrics and improving model quality
  • Demonstrated success driving zero-to-one (0→1) initiatives ML background and hands-on experience, Experience with ML lifecycle: model training, fine-tuning, evaluation, continuous monitoring, and more
  • Coding ability in one or more languages (e.g., Python, C#, C++, Rust, JavaScript/TypeScript)
  • Familiarity and previous work in the field of cybersecurity (e.g., threat detection/response, SIEM/SOAR, identity, endpoint, cloud security) and familiarity with analyst workflows

Additional Information:

Job Posted:
March 14, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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