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高級算法工程師(大數據)
Lalamove (mainland China)

http://www.huolala.cn

高級算法工程師(大數據) - Lalamove (mainland China)

2

Shenzhen, China

30 May, 2019

Monthly Salary

RMB 25,000 - 45,000

Career Level

Entry level

Years Experience

3.0

Employment Type

Full-time

Description

主要職責: - 深入理解業務,研究訂單分派、路徑規劃、智能調度、動態定價等領域的算法問題,並從效率、公平性等多個維度對相關算法進行優化; - 基於海量數據挖掘業務場景中的真實需求和痛點,創新的利用機器學習/深度學習/運籌學手段,創建與實現解決實際問題的模型。應用領域包括但不限於:反欺詐模型、圖像識別、語音識別、NLP、知識圖譜、風險控制、推薦系統。 職位要求: - 取得碩士或以上學位,計算機科學與技術類、統計學類、數學類相關專業畢業; - 精通高級算法、機器學習、深度學習、最優化、運籌學相關理論,有相關領域的算法實踐經驗; - 編程基礎紮實,熟悉使用一門常用的編程語言,包括但不限於:C/C++、Java、Python、Scala、Go,熟悉Linux開發環境; - 熟練掌握海量數據處理技術,有使用Hadoop/Hive/Spark分析海量數據的能力和經驗,至少掌握一種常見的深度學習開源框架; - 熟悉了解訂單分派、路徑規劃、智能調度、動態定價等領域的算法; - 符合以下任一條件者優先: 熟悉VRP、TSP等路徑規劃問題和優化算法; 有分佈式機器學習、強化學習的相關經驗; 在人工智能相關頂級會議有論文發表者; 編程能力傑出者。

About the Company

Lalamove, the business direction is positioned as the same city instant vehicle freight, intended to integrate social transportation resources, build a fast, affordable, secure, professional city freight forwarding platform. Through the cargo pull platform, the cargo owner can quickly match the nearby truck resources and obtain high-quality freight services at low prices; the majority of truck drivers can also quickly pick up customer demand by means of cargo pulls, greatly improving the utilization efficiency of trucks, and thus gaining more Rich income return. The company originated from Hong Kong and entered mainland China in 2014 (the overseas version is Lalamove). It is now operated by Shenzhen Carat Technology Co., Ltd. in mainland China. Since landing in mainland China, it has been adhering to the business philosophy of “Hong Kong-style management, smart place”, with “star driver priority pairing, rapid response within 10 seconds, reaching the car point within 10 minutes, customer service hotline is always on standby” Service purpose, to achieve full-closed service process such as truck dispatch, in-transit transport, receipt confirmation, and fee settlement.

Reward Condition
Hired
Referrer Reward
HKD 12,500
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