Member of Technical Staff, Applied Scientist - Windows Copilot

• Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
• Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
• Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
• Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
• Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
• Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
• Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
• Embody our Culture and Values.

• 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.
• Proven track record of deploying machine learning models in large-scale production environments.
• 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
• 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

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.