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Microsoft Member Technical Staff Applied Scientist - Windows Copilot Taiwan, Taoyuan City 536338136
16.10.2025
By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week.
Responsibilities
- 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 and .
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)
- OR equivalent experience.
- Proven track record of deploying machine learning models in large-scale production environments.
- 4 years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
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.
- 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.
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