微软Senior Applied Scientist - M365 Copilot Offline Evaluation Platform
任职要求
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. • Technical data analysis and modeling experience using Python/R/SQL, and experience with some statistical or machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, MLlib, XGBoost etc.) are required. • Proficiency in a programming language such as Python, R, C# or C++ required. • Familiarity with databases and a query language, e.g. SQL/HiveQL/DAX/MDX required. Other Requirements: 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:• 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 exp…
工作职责
• Analyze massive datasets to extract insights and prototype predictive models that forecast infrastructure capacity needs. • Develop scalable solution pipelines to enhance the efficiency, reliability, and performance of Microsoft 365 and Copilot services. • Leverage generative AI and agentic orchestration to build intelligent systems that address complex infrastructure challenges. • Design and implement innovative machine learning and mathematical models to drive breakthrough optimizations. • Collaborate with cross-functional teams—including product, engineering, and research—to align efforts and deliver high-impact solutions. • Translate advanced research into durable, data-driven products that create lasting business value.
Lead the design and development of advanced models and algorithms for web search and browsing, collaborate with cross-functional teams, and drive innovation in AI-powered information retrieval.
• Drive data exploration and analysis by collecting initial datasets, selecting appropriate analytical techniques, and applying foundational statistical methods to extract insights. • Build and evaluate ML models by running modeling tools on prepared datasets, analyzing performance, and incorporating customer feedback to improve outcomes. • Contribute to AI development by writing production-quality code for features or models, applying debugging best practices, and staying current with industry trends and methodologies. • Champion customer-centric solutions by understanding business goals, identifying growth opportunities, and managing expectations throughout the project lifecycle. • Collaborate cross-functionally with engineering and product teams to define success metrics, improve AI quality at scale, and shape how performance is measured across Copilot technologies.
• Drive data exploration and analysis by collecting initial datasets, selecting appropriate analytical techniques, and applying foundational statistical methods to extract insights. • Build and evaluate ML models by running modeling tools on prepared datasets, analyzing performance, and incorporating customer feedback to improve outcomes. • Contribute to AI development by writing production-quality code for features or models, applying debugging best practices, and staying current with industry trends and methodologies. • Champion customer-centric solutions by understanding business goals, identifying growth opportunities, and managing expectations throughout the project lifecycle. • Collaborate cross-functionally with engineering and product teams to define success metrics, improve AI quality at scale, and shape how performance is measured across Copilot technologies.
1、负责摄像头模组的评估选型，负责Camera新器件、新工艺的收集和研究，并建立资源库，输出研究分析报告，并成功导入产品项目中； 2、熟悉Cam模组电子，结构，光机等设计要点，负责Cam模组定制开发，量产交付； 3、负责与Camera主流马达厂家及其他创新厂家保持密切沟通，掌握Camera模组变焦和OIS的技术发展趋势，确保Camera模组能够获得最大的对焦和防抖性能； 4、负责与Camera Sensor厂家保持密切沟通，掌握Camera Sensor的技术发展趋势，确保发挥Sensor的最优性能满足VR系统的需求； 5、涉及部品的重大技术问题协助推动厂家技术支持； 6、部品通用化管理和兼容性设计。