Amazon Web Services Infrastructure Services team provides comprehensive technical support throughout the design, planning, delivery, and operation of Amazon Web Services infrastructure. We support data centers and the servers, storage, networking, power, and cooling equipment that ensure the customers of Amazon Web Services have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for...

The Role: We are seeking a highly motivated Lab Engineer to join our Devices team. The ideal candidate will be flexible, detail-oriented, and skilled at working with internal customers (Software, Science, Product teams) driving data collection and infrastructure development. As Lab Engineer on the Data Collection team, you will champion the quality and efficiency of data collection for the organization, implementing and executing on large scale data collection, ensuring deliverables meet and exc...

Amazon Web Services, an Amazon.com Company, has been the world’s leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. Millions of customers in over 240 countries - from the fastest growing start-ups to the largest enterprises, through to leading government agencies - all place their trust in Amazon Web...

About Amazon Web Services Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availabi...

Since 2006, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload. Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providi...

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. AWS Greater China Market...

The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SD...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starti...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starti...

Job Description: Enhance master data quality through data defect analysis, solution design, and delivery, utilizing the MDM Reltio platform. Support new Master Data Management (MDM) implementations, including MDM requirements analysis, data migration, and data analysis using MDM Veeva Network. Requirements: College degree or higher. 5+ years of technical project experience, with familiarity in interface development (ETL/API). Experience in developing data governance strategies; proficiency with ...

Job Description Part-time University Lecturer 1. University Location:Chengdu City, Sichuan Province, China 2. Teaching Major: Data Science and Big Data Technology 3. Course Information is as below: The lecturer will be expected to lecture the following courses during 11.9-12.4, 2026. Course Name& Class Hour (1 teaching hour = 45min) : 2025Cohort : Computer Science and Programming I (Java)--64 teaching hours Job Details: 1.Mode of Instruction: Onsite 2.Materials and PPT : Provide with the general...

The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI / ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists, and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data science products for o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will design, implement and deliver models o...

• Develop and manage personalized recommendation/ optimization strategies and content roadmap for the e-commerce website based on analytical insights to directly improve Revenues, CVR, AOV, Repurchase Rate and LTV. • Plan, execute and monitor site modules, widgets, and user flows to enhance visitor engagement and sales performance. • Translate customer insights and team ideas into detailed business requirements, wireframes, and acceptance criteria for the Product Development team. • Oversee the ...