Amazon分组求建议
727921
小弟刚刚接到Amazon的分组信息，
共有三个选择：
[align="left"]Hardlines – Product & Service Discovery[/align][align="left"]Our vision is to enable customers globally to discover the most relevant products and services through programs that enrich their pre and post purchase experience. PSD is organized around large programs that require product management, UX design, and software development talent to deliver, such as Services Discovery that includes 3P warranties; Product Discovery that includes Comparison and Product Bundles; and Strategic programs around pricing transparency.[/align][align="left"] [/align][align="left"]DBS Elasticache[/align][align="left"]The Amazon Web Services Database Services team is looking for talented engineers to help us build the next generation of large scale database systems that run across thousands of servers and multiple data centers worldwide. These are core systems development positions where you can learn and grow your career with very senior engineers mentoring you. You will be given the opportunity to have direct impact on the evolution of the Amazon Web Services database platform and lead mission critical projects early in your career. Your design, code and raw smarts will contribute to solving some of the most complex technical challenges in the areas of databases, distributed systems, optimization, scalability and tweaking algorithms, just to name a few.[/align][align="left"]Amazon database services team has built large scale database technologies like Amazon DynamoDB, Amazon RDS and Amazon Redshift. For instance, Amazon DynamoDB is a NoSQL database service that provides fast and predictable performance with seamless scalability. Amazon RDS is a fully managed relational database service that manages MySQL, Oracle and SQL Server. Similarly, Redshift provides a petabyte data warehousing solution for analytics.[/align][align="left"] [/align][align="left"]Machine Learning[/align][align="left"]Being part of the Machine Learning team at Amazon is one of the most exciting job opportunities in the world today. There is no richer data environment for a Machine Learning scientist to develop new models and algorithms that will positively impact over 200 million customers. Our team is comprised of technical leaders across three main locations- Seattle, Berlin and Bangalore. Machine learning and related quantitative sciences have been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. We believe in the long-term impact of Machine Learning to all our businesses.[/align][align="left"]
[/align][align="left"]个人比较偏向2或3，但machine learning是不是比较适合博士，master没啥理论基础感觉很虚。。[/align][align="left"]当然hr也说不保证分到你想去的组，所以请各位了解情况的提供些建议，主要是工作内容以及压力情况等，拜谢了！！[/align]
共有三个选择：
[align="left"]Hardlines – Product & Service Discovery[/align][align="left"]Our vision is to enable customers globally to discover the most relevant products and services through programs that enrich their pre and post purchase experience. PSD is organized around large programs that require product management, UX design, and software development talent to deliver, such as Services Discovery that includes 3P warranties; Product Discovery that includes Comparison and Product Bundles; and Strategic programs around pricing transparency.[/align][align="left"] [/align][align="left"]DBS Elasticache[/align][align="left"]The Amazon Web Services Database Services team is looking for talented engineers to help us build the next generation of large scale database systems that run across thousands of servers and multiple data centers worldwide. These are core systems development positions where you can learn and grow your career with very senior engineers mentoring you. You will be given the opportunity to have direct impact on the evolution of the Amazon Web Services database platform and lead mission critical projects early in your career. Your design, code and raw smarts will contribute to solving some of the most complex technical challenges in the areas of databases, distributed systems, optimization, scalability and tweaking algorithms, just to name a few.[/align][align="left"]Amazon database services team has built large scale database technologies like Amazon DynamoDB, Amazon RDS and Amazon Redshift. For instance, Amazon DynamoDB is a NoSQL database service that provides fast and predictable performance with seamless scalability. Amazon RDS is a fully managed relational database service that manages MySQL, Oracle and SQL Server. Similarly, Redshift provides a petabyte data warehousing solution for analytics.[/align][align="left"] [/align][align="left"]Machine Learning[/align][align="left"]Being part of the Machine Learning team at Amazon is one of the most exciting job opportunities in the world today. There is no richer data environment for a Machine Learning scientist to develop new models and algorithms that will positively impact over 200 million customers. Our team is comprised of technical leaders across three main locations- Seattle, Berlin and Bangalore. Machine learning and related quantitative sciences have been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. We believe in the long-term impact of Machine Learning to all our businesses.[/align][align="left"]
[/align][align="left"]个人比较偏向2或3，但machine learning是不是比较适合博士，master没啥理论基础感觉很虚。。[/align][align="left"]当然hr也说不保证分到你想去的组，所以请各位了解情况的提供些建议，主要是工作内容以及压力情况等，拜谢了！！[/align]