Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

234700.0

Posted On

24 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, AI, Generative AI, NLP, Deep Learning, MLOps, Prompt Engineering, Statistical Tools, Ethics, Bias Mitigation, Production Deployment, A/B Testing, Multi-Agent Architectures, Feature Engineering, Model Evaluation, Large-Scale Computing

Industry

Software Development

Description

Overview We are in an era of unprecedented innovation and openness, and as Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Join the Agent 365 team as a Senior AI Applied Scientist and help shape the future of intelligent agents at Microsoft. In this role, you will apply your expertise in machine learning, data science, and AI to deliver innovative solutions that enhance Microsoft products and services. Your work will influence product strategy and create meaningful customer experiences. You will collaborate across research, engineering, and product teams to integrate cutting-edge AI technologies that are ethical, inclusive, and impactful. This opportunity allows you to deepen your technical expertise, drive innovation, and contribute to Microsoft’s mission of empowering every person and organization to achieve more. Bring your growth mindset, customer empathy, and applied science skills to help us build the next generation of AI-powered experiences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 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. 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. Leveraging Research in real-world problems Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models. 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. Ethics, Privacy and Security 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. Specialty Responsibilities 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. Embody our culture and values. Qualifications Required Qualification(s): Bachelor’s degree in Computer Science, Statistics, Electrical or Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research OR Master’s degree in Computer Science, Statistics, Electrical or Computer Engineering, Physics, Mathematics or related field AND 3+ years of experience in AI/ML, predictive analytics, or research OR Doctorate in Computer Science, Statistics, Electrical or Computer Engineering, Physics, Mathematics, or related field AND 1+ year(s) of experience in AI/ML, predictive analytics, or research OR equivalent experience. Other Requirements: 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 Qualifications: 1+ years of experience with generative AI or LLM/ML algorithms. Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow). 3+ years of experience publishing in peer-reviewed venues or filing patents. 3+ years of experience conducting research in academic or industry settings. 1+ year of experience developing and deploying live production systems. 1+ years of experience working with Generative AI models and ML stacks. Experience across the product lifecycle from ideation to shipping. Experience presenting at conferences or industry events. Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Senior Applied Scientist will apply expertise in machine learning and AI to deliver innovative solutions that enhance Microsoft products. Responsibilities include building AI-driven prototypes, translating research into production-ready solutions, and ensuring responsible AI practices.