Microsoft
Senior Applied AI Scientist
We are looking for a
Senior Applied AI Scientist
to join our team. As a member of the Customer Service Applications 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.
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. 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
Build collaborative relationships with product and business groups to deliver AI‑driven impact
Research and implement state‑of‑the‑art techniques using foundation models, prompt engineering, Retrieval‑Augmented Generation, graph‑based approaches, multi‑agent architectures, and 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, and 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
Use data to identify gaps in AI quality, uncover insights, and implement proof‑of‑concepts to demonstrate value
Demonstrate deep expertise in AI sub‑fields (e.g., deep learning, generative AI, NLP, multimodal 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, proactively identifying and mitigating ethical and security risks—including 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 the AI development cycle from data collection to model deployment and monitoring
Deep understanding of small and large language‑model architecture, deep learning, fine‑tuning techniques, multi‑agent architectures, classical ML, and optimization techniques to adapt out‑of‑the‑box solutions to specific 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, state‑of‑the‑art models, open‑source libraries, statistical tools, and rigorous metrics
Address scalability and performance issues using large‑scale computing frameworks
Required Qualifications
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
Preferred Qualifications
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 live production systems, as part of a product team
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Experience across the product lifecycle from ideation to shipping
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: this position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Pay and Benefits Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. For specific work locations in the San Francisco Bay Area and New York City metropolitan area, the base pay range is USD $158,400 – $258,000 per year. Certain roles may be eligible for additional benefits and other compensation. Find additional benefits and pay information at https://careers.microsoft.com/us/en/us-corporate-pay.
Application Deadline Microsoft will accept applications for the role until November 13, 2025.
Equal Opportunity Employer Microsoft is an equal opportunity employer. Consistent with applicable law, 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 or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Applied AI Scientist
to join our team. As a member of the Customer Service Applications 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.
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. 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
Build collaborative relationships with product and business groups to deliver AI‑driven impact
Research and implement state‑of‑the‑art techniques using foundation models, prompt engineering, Retrieval‑Augmented Generation, graph‑based approaches, multi‑agent architectures, and 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, and 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
Use data to identify gaps in AI quality, uncover insights, and implement proof‑of‑concepts to demonstrate value
Demonstrate deep expertise in AI sub‑fields (e.g., deep learning, generative AI, NLP, multimodal 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, proactively identifying and mitigating ethical and security risks—including 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 the AI development cycle from data collection to model deployment and monitoring
Deep understanding of small and large language‑model architecture, deep learning, fine‑tuning techniques, multi‑agent architectures, classical ML, and optimization techniques to adapt out‑of‑the‑box solutions to specific 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, state‑of‑the‑art models, open‑source libraries, statistical tools, and rigorous metrics
Address scalability and performance issues using large‑scale computing frameworks
Required Qualifications
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
Preferred Qualifications
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 live production systems, as part of a product team
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Experience across the product lifecycle from ideation to shipping
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: this position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Pay and Benefits Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. For specific work locations in the San Francisco Bay Area and New York City metropolitan area, the base pay range is USD $158,400 – $258,000 per year. Certain roles may be eligible for additional benefits and other compensation. Find additional benefits and pay information at https://careers.microsoft.com/us/en/us-corporate-pay.
Application Deadline Microsoft will accept applications for the role until November 13, 2025.
Equal Opportunity Employer Microsoft is an equal opportunity employer. Consistent with applicable law, 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 or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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