Microsoft · 1 day ago
Senior Applied AI Scientist
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
4+ years expMicrosoft is a leading technology company dedicated to empowering every individual and organization on the planet to achieve more. As a Senior Applied AI Scientist, you will be responsible for advancing AI technologies within Microsoft products and services, collaborating across teams to deliver innovative solutions that enhance customer experiences.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, multi-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact
Share insights on industry trends and applied technologies with engineering and product teams
Formulate strategic plans that integrate state-of-the-art research to meet business goals
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring
Design, develop, and integrate generative AI solutions using foundation models and more
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics
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
1+ year(s) experience developing and deploying live production systems, as part of a product team
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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 experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
3+ years experience conducting research as part of a research program (in academic or industry settings)
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
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 (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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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