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[Live Recommendation] Staff Ranking Engineer

Shanghai, China Job ID: 3435061

Overview

We are looking for people who are passionate about solving complex real-world problems, building world-class solutions, and benefitting millions of lives. At Coupang, developers learn from one another—we share knowledge and spur each other on to come up with great ideas—and move extremely fast to create profound impact together. You will also have the opportunity to tackle large-scale challenges that arise as we grow. This includes building in-house technology, innovating mobile architecture, and advancing possibilities with machine learning and deep learning. With you, we will build a world where our customers ask, “How did we ever live without Coupang?”

Success Profile

  • Team Player
  • Adaptable
  • Inventive
  • Self-starter
  • Problem Solver
  • Goal-oriented
  • Quick-thinking

Responsibilities

Job ID 3435061 Date posted  08/31/2021 Location Shanghai, China

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year.

We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.. 

 

Job Overview: 

As our Staff Ranking Engineer for live stream recommendation & personalization, you will define and solve hard problems to improve live stream business metrics, increase GMV, conversion rate, as well as personalize live stream based on better understanding of customer intention. Meanwhile you will involve to build recommendation engine for live stream. We are desired to provide customer a friction-less ranking engine and recommend best live stream to customer, help customer buy what they want easily. Your ideas and experience would help us achieve the goal.

   

Key Responsibilities: 

You are required to build/improve recommendation engine, do experiments to achieve business goal. Dive deep into recommendation results, understand real customer problem, work out solution to solve it. Work closely with product, operation teams, iterate ideas/ model to drive live stream GMV growth.
1.Involve in new marketing model research and development, and design and roll out the system from 0 to 1 and then evolve it to 10.
2.Based on recommendation and search framework, design and implement recommendation and search algorithm, keep iterating to improve customer experience.
3.Work with stakeholders closely and efficiently with high productivity.

Qualifications:  

  • Bachelor's degree in Computer Science or Computer Engineering
  • 5+ years of solid work with fundamental algorithms, system design
  • Hands-on experience in statistical/machine learning modeling and implementation
  • 6+ years of coding experience with Java, Scala or Python
    etc
  • Data processing on the Hadoop cluster (Hive or Spark)

  

Preferred: (Drafter: Refer to below for the format of the sentences.) 

  • People with an open mindset and would like to explore new territory of technology and go deep on domain knowledge
    Hands-on experience with Recommendation SystemsAbility to think outside-the-box and challenge conventional wisdom

 

Career Path

  • Senior Software Engineer
  • Software Engineering Manager
  • Technical Program Manager
  • Product Manager (Product Owner)
  • Tech Recruiter

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Benefits and Rewards

  • Flex Time

  • Open Culture

  • Team Outings

  • Collaboration

  • International Interaction

Our mission is global

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

Seoul, Korea

Our Korea office is located in downtown Seoul near Lotte World Hotel and Lotte World Mall.

Shanghai, China

Our office in Shanghai is conveniently situated near to restaurants and gyms, as well as to the Evergreen Hotel and the Chamtime Square Shopping Mall.

Beijing, China

Our Beijing office is located in One Indigo, a Grade A-listed office tower. From our space on the 12th floor, you can take in expansive views of Indigo Park, the Ba River and the Beijing skyline. We are conveniently situated a few steps away from the Indigo Shopping Mall, and parking is easily available.

Mountain View, United States

Our Mountain View office is located in the Silicon Valley area across from the NASA Ames Research and Visitor Center.

Seattle, United States

Our Seattle office can be found in the heart of downtown Seattle near restaurants and tourist attractions such as the Pike Place Market.

Los Angeles, United States

Our office in Los Angeles is located in the Riverside area right next to the Sycamore Canyon Wilderness Park.

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  • Software Development Engineers, Shanghai, Shanghai Municipality, ChinaRemove