Overview
As a Senior AI Applied Scientist?for?Business & Industry Copilot?Foundations?team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of?cutting-edge?AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.????You will collaborate across?product,?research?and engineering teams to bring innovative solutions to life, applying your?expertise?in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer?experiences.??
AI
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Mission and Impact
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?We are in an era of unprecedented innovation and openness. 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. Our vision is to build?a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.??We are looking for a?Senior AI Applied Scientist?to join our team????This role?will combine?AI knowledge with?applied science?expertise,?demonstrate?a growth mindset?and?customer empathy. Join us in shaping the future of AI agents.??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
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- 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.??
Leveraging Research
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in real-world problems
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- 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.??
Documentation
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- Maintain clear documentation of experiments, results, and methodologies.??
- Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing???
Ethics,
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Privacy
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and Security
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?Apply a deep understanding of fairness and bias in AI by proactively?identifying?and mitigating ethical and security?risksincluding?XPIA?(Cross-Prompt Injection Attack)?unfairness, bias, and privacy concernsto 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
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- 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.??
Qualifications
- Bachelor's degree in Computer Science, Statistics, Electrical/Computer Engineering,?Physics, Mathematics?or related field AND 4+ years of experience in AI/ML, predictive analytics, or research??
- OR Master's degree AND 3+ years of experience??
- OR?PhD?AND 1+ year of experience??
- OR equivalent experience??
- 1+ years of experience with?generative?AI?OR LLM/ML?algorithms??
Other Requirements:
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- 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:
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- 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??
- Experience?presenting at conferences or industry events??
- 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??
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.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.
