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This team owns the full stack\u2014from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We\u2019re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it\u2019s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all. We are hiring an Applied Scientist to lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities. Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. 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Responsibilities Develop and refine data pipelines and infrastructure to support AI model development for Copilot.\u00a0 Collaborate with research teams to integrate cutting-edge AI advancements into production systems.\u00a0 Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.\u00a0 Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.\u00a0 Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot\u2019s intelligence.\u00a0\u00a0 Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.\u00a0\u00a0 Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.\u00a0 Embody our\u00a0 Culture and\u00a0 Values .\u00a0\u00a0 Qualifications 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+ years related experience (e.g., statistics, predictive analytics, research)\u00a0\u00a0 OR equivalent experience.\u00a0 Proven track record of deploying machine learning models in large-scale production environments.\u00a0 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)  OR equivalent experience. 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