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1111人力銀行幫您找願境網訊股份有限公司(KKBOX) - Senior research engineer (Recommender system)轉職跳槽年後上班，精選職缺盡在1111轉職專區

願境網訊股份有限公司(KKBOX) - Senior research engineer (Recommender system)

http://bit.ly/1TmJrs4

工作說明：

職務目的

Lead the development of recommender system

主要工作職責 / 職務內容說明

KKBOX is the leading music streaming company in Asia, possessing more than 10 millions of music entries to serve users‘ daily needs. Nevertheless, when confronted with vast amount of songs, it becomes difficult for users to ferret out their desired ones. The mission of Research Team is to dig out a means of organizing millions of songs in all aspects you can imagine. In addition, we attempt to understand our customers‘ needs by data analysis. We work closely with other excellent teams to deliver better and better services using our techniques and discoveries.

We are seeking for a senior research engineer responsible for leading recommendation related projects. You will communicate with project managers to know the needs, translate into machine learning problem and design a solution for it. You will also give directions to our academic partners and research engineer that makes our recommender system into the next level.

responsibility

- communicate with project managers to know the needs and respond solutions they can understand

- translate the project needs into a machine learning problem and cooperate with research engineer to design an algorithm to solve it

- design either offline experiments and build online A/B tests to run in production systems

- give research directions to academic partners and research engineer

工作地點：

台北市南港區 三重路19-3號一樓

工作時間：

日班

工作性質：

全職

職務類別：

軟體專案主管、軟體工程師、統計學研究人員

工作待遇：

面議

需求人數：

1人

管理人數：

10人以內

到職日期：

不限

職缺更新：

2015/12/29

求才條件

身份類別：

不拘

學歷限制：

碩士 以上畢業

科系限制：

資訊工程學類, 數學統計學門, 電算機學門

工作經驗：

2年以上工作經驗

語言能力：

英文 聽:精通 說:精通 讀:精通 寫:精通

電腦專長：

作業系統	LINUX、UNIX

附加條件：

特別的專業訓練需求

- Proficient in Linux, Unix systems, and Git.

- Experience in programming in python or scala

此工作所需具備的能力及行為特質

- Expertise in recommender system theoretically with a board understanding of related issues like cold-start, diversity, evaluation

- Experience in building recommendation engine in production is a plus

- Experience in running online A/B tests is a plus

- Great communication skills

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