Microsoft · 1 day ago
Senior Applied Scientist
Seattle, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
4+ years expMicrosoft is a leading technology company committed to empowering individuals and organizations. The Senior Applied Scientist will play a crucial role in integrating AI technologies into Dynamics 365 Apps, collaborating with various teams to deliver innovative solutions that enhance customer experiences.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Bringing the State of the Art to Products
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, muti-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
Maintain clear documentation of experiments, results, and methodologies
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
Address scalability and performance issues using large-scale computing frameworks
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams
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+ years of experience with generative AI OR LLM/ML algorithms
Ability 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
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript
Experience with design and implementation of enterprise-scale services
3+ years of experience publishing in peer-reviewed venues or filing patents
Experience presenting at conferences or industry events
3+ years of experience conducting research in academic or industry settings
1+ years of experience working with Generative AI models and ML stacks
Experience across the product lifecycle 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
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