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Staff, Machine Learning/Ranking Engineer (Recommendations)

首尔, 韩国 职位 ID: 3407079


我们寻找的人才热衷解决复杂的现实问题、搭建世界一流的解决方案,并使数百万人生活受益。 在Coupang,开发人员互相学习 - 我们分享知识、互相激励,提出创意 - 并迅速采取行动,共同创造深远的影响。 随着公司的成长,你还将有机会应对随之出现的大规模的挑战。 这包括构建内部技术,引入新的移动端架构,以及通过机器学习和深度学习创造新的可能。 我们热忱邀请你,和我们共创一个新世界,让我们的顾客无法想象,“如果离开了Coupang该如何生活?


  • 灵活适应
  • 自主创新
  • 积极主动
  • 团队合作
  • 解决问题
  • 目标导向
  • 思维敏捷


职位 ID 3407079 发布日期 08/31/2021 地点 首尔, 韩国

Coupang is one of the largest and fastest growing e-commerce platforms on the planet. Our vision is to create a world in which Customers ask “How did I ever live without Coupang?” We are looking for passionate builders to help us get there. Powered by world-class technology and operations, we have set out to transform the end-to-end Customer experience -- from revolutionizing last-mile delivery to rethinking how Customers search and discover on a truly mobile-first platform. We have been named one of the “50 Smartest Companies in the World” by MIT Technology Review and “30 Global Game Changers” by Forbes.


Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley.


The Recommendation Team owns Coupang’s product recommendation, personalized gateway and product review quality. We use state of the art Machine Learning and Deep Learning technologies to recommend products that customers would love. We continuously innovate and build our highly scalable Machine Learning platform to support the fast growing business and customer needs.


About the role:

Mine vast amount of data to gain insights from customer behavior; create data jobs to generate Machine Learning features; build, train and improve new or existing models; participate in building the framework used for Recommendation online serving; etc. These are all the components included in the end to end system for serving Recommendation to our customers. As a Ranking Engineer in the Recommendation team, you will be owner of this system. In a controlled environment, run experiments to validate and launch any features that would improve the customer experience.


Who we are looking for :


• 5+ years experience working with large-scale, complex datasets to extract robust features and create reliable machine learning models.

• Track record of diving into data to discover hidden patterns and solving problems with data science.

• Fast paced self-learner with proven record of launching successful features and improving business metrics.

• Write robust and efficient code using Java with unit and integration tests.

• Understand production environment, continuous build, monitoring and alerting

• Able to dive deep to debug and resolve usual production issues.
• Help Design and Improve the Recommendation Serving Architecture


Preferred Skills:

• Industrial experience working with online serving system working at scale

• Theoretical understanding and hands-on experience with different 

• Recommender systems


Recruitment Process and Others

1. Recruitment Process: Application Review - Online Coding Test - Phone Interview (Algorithm/Coding) - Full Cycle Interview (Architecture Design/ ML / Cultural Fit) - Offer  
(The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.)
2. Others:
a. This job post may be closed early if all openings are filled.   
b. If there is any false information in the application, the offer may be cancelled.
c. Veteran status or disability will not result in any disadvantages in the recruitment process.
d. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.



  • 软件工程师(个人贡献者 vs.经理)
  • 软件工程师
  • 技术项目经理
  • 产品经理
  • 技术招聘专员



  • 工作时间灵活

  • 开放环境

  • 团队旅游

  • 合作顺畅

  • 国际交流