Microsoft · 6 hours ago
Senior Applied AI Scientist
Microsoft is a leading technology company, and they are seeking a Senior AI Applied Scientist to lead product-focused applied research and development in artificial intelligence and machine learning. The role involves driving innovation from concept to production and collaborating with teams to deliver robust AI systems for security applications.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
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
Qualification
Required
Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience
Candidates must be able 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 Cloud background check upon hire/transfer and every two years thereafter
Preferred
Master'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 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
3+ 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
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
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Trends of Total Sponsorships
2025 (9192)
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
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