Machine Intelligence Technology Development Engineer
Alibaba Group Holding Limited
Moscow, Russia
8 дней назад

Job Description

Job description : Machine Intelligence Technology (MIT) Lab is a department of Alibaba-DAMO, the core research institute of Alibaba.

In this lab, a group of leading scientists and engineers in Beijing, Hangzhou, Seattle and the Silicon Valley are devoted to the research of the most cutting-

edge AI technologies in the world, such as image processing, speech recognition and natural language processing. Machine translation is one of the diverse research topics of the MIT lab.

For Alibaba's globalization strategy, it also becomes one of the most important infrastructure of AliExpress, Alibaba.com and Lazada.

Now we are building the Russian machine translation team in Moscow to develop better translation technology in collaboration with the teams across the world.

We believe that Alibaba can break the barrier of cross-language communication and promote the cross-border business in the world with help of you.

If you fulfill the following conditions, please join us and work together to achieve this great goal.

Job requirements

Job requirement : 1.Minimum 2 years experience in famous IT companies as a development engineer.2.Good at programming, proficient in C++ / Java, familiar with jvm, web development, caching, distributed architecture, messaging middleware and other core technologies.

Some Experience engaged in building systems for recommendation, data mining, machine learning, or artificial intelligence in a commercial setting is preferred.

3.Proficient in the mainstream Java EE open source framework. Understand its principles and mechanisms, such as Spring, iBatis, struts.

4.Familiar with mySql and other RDBS, or nosql database technology. Some sql optimization experience.5.Prior experience of building micro services and working with service oriented architecture is a big plus.

6.Fluency in English is required. Must be able to work comfortably with geographically distributed teams and diverse culture backgrounds.

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