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[找工就业] 亚麻 选组求建议

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sarayang27 发表于 2016-3-22 08:01:15 | 显示全部楼层 |阅读模式

2016(1-3月)-[16]CS本科+1-3年 - 校园招聘会| 码农类全职@Amazonfresh grad应届毕业生

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亚麻hr刚刚发的选组信息 楼主想往machine learning还有computer vision方向发展 所以hr给的都是这个方向的 但是实在是不知道哪个组能好一点 求大神指教~. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
eCFT (largest consumer of AWS)
eCFT is responsible for protecting customer and corporate data across all of Amazon, whether it's the retail website, Kindle or AWS, we secure the data. Every aspect of our business interacts with our systems, if our systems are not up and running the company stops, and if we're not rapidly delivering new, easy to use features the whole company slows down. We're at the intersection of can never go down, and need to move at agile, internet speed. We're connected to all aspects of Amazon’s business.
We are looking for software engineers who thrive on complex problems and relish the challenge of operating a complex and mission critical system under extreme loads. Our system responds to millions of service requests per minute. We do security software for high availability systems. Do you think you are up to the challenge? Or would you like to learn more and stretch your skills and career?
The successful candidate is expected to contribute to all parts of the software development and deployment lifecycle, including design, development, documentation, testing and operations. They must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. They need to really enjoy working closely with their peers in a group of very talented engineers.
We're looking for people who are smart and can get things done, though the following skill sets provide a good foundation for a quick ramp up to being productive in our Java, Linux and Oracle-based environment. We're looking for a range of experience, from brilliant and motivated new college graduates to technical leaders with the scars and battle-tested wisdom.
AIV (CV applications)
Amazon Instant Video is changing the way millions of customers interact with video content. The Amazon Instant Video team delivers high-quality instant video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Instant Video that we're spending over $1 billion on content deals and we've even launched our own studio to create original and exclusive content.  Every day we face the challenges of a fast paced market and expanding technology set. As a member of the Instant Video team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role in building software products and features from the ground up. You will use a wide range of technologies, programming languages and systems. Your responsibilities will include all aspects of software development. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. We'd love to have you join us and build the systems, services, and apps that delight our end users. We build apps for the web, mobile phones, tablets, smart TVs, game consoles, and set top boxes. Using advanced machine learning and data mining techniques, we help our customers discover the best movies and TV shows. We measure data in Petabytes and streaming in Exabytes. We obsess over big picture problems like "How do we deliver video that’s more reliable than the internet its delivered over?" to low level details like "How do we squeeze maximum picture quality out of every bit delivered?" We strive to be on the forefront of new consumer technologies like UHD TV and High Dynamic Range video. We build huge scale distributed systems on the AWS cloud to make sure our service is always reliable for our customers. Join us and change the way customers watch movies and TV shows instantly.
CS Tech (ML applications)
At the heart of Earth’s Most Customer Centric Company you’ll find a vibrant, creative, and passionate customer service (CS) department.  In CS Technology a team of customer-crazy engineers focuses on technology to enhance the customer experience.  We often think of ourselves as the catch block of a gigantic try statement surrounding everything Amazon does.  Whenever something goes wrong for a customer, it’s our job to make it right with as little customer effort as possible.  If you’ve visited amazon.com (and who hasn’t) you’ll see our finger prints in the top right of the page – “Your Account”.  It’s our first line of defense for customers who need help.  You might also have noticed the strategically placed “Contact Us” buttons across the site.  When a customer clicks there, the fun really begins.  Behind that button is an army of customer service agents waiting to transform a frustrated or confused customer into a satisfied and loyal Amazon fan.  Behind that button is where Customer Service Technology really shines.  That one button links a visitor to an expansive network of technology built from the ground up here at Amazon.  In our team you can work on technology as diverse as Machine Learning to predict customer issues, Natural Language Processing to discover systemic problems in customer contact transcriptions, Telephony and Chat Call Routing to optimize agent utilization, Big Data Analysis to discover inefficiencies in our processes, or User Experience studies to help reduce agent or customer effort.  At the heart of a great company is a great customer service department.  For millions of Amazon Shoppers that means an encounter with Customer Service Technology.
IPC (Large Scale Algorithms)
Inventory Planning and Control is responsible for optimizing two of Amazon’s core business drivers: the cost of goods and outbound transportation. Our systems understand what inventory to buy, how much to buy and where to buy it from. We then decide how to place billions of items across our world-wide warehouse network, and determine the optimal way to ship every customer order. We build systems that run at Amazon scale using cloud computing and service oriented architecture, we develop and operate high-throughput distributed systems, and utilize numerous classes of algorithmic approaches (combinatorial, non-linear and stochastic optimization, machine learning, statistical analysis, simulation). We operate in a complex problem domain (Supply Chain, Inventory Management) and rapidly innovate to provide low prices, Earth’s Biggest Selection, and fast delivery for Amazon customers globally. We’re finding new ways to leverage Amazon’s scale and computing infrastructure to build completely new solutions in areas such as buying strategy, optimization, selection, and operations planning that have never been solved at this scale. No experience with Supply Chain is required, just a willingness to learn and a desire to solve very tough problems.  If the idea of building large scale, high availability software systems using mathematical modeling, simulations and data analysis gets you excited, come work for us!
. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴


补充内容 (2016-3-22 08:03):
PS:记得以前好像有大神提过AIV挺好的 但是不知道oncall多不多 楼主想找一个oncall不多的 然后能学到技术的

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