Company Introduction
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.
Team Overview
The Recommendation team is responsible for Coupang’s related product recommendation, personalized gateway, widget ranking, and product review quality. Related product recommendation is a fast-growing area and we are continuously improving recommendation quality to help more and more customers find the best products for them. We have also started investing in personalized Gateway, aiming to build one of the best e-commerce discovery experiences. We use the state of the art Machine Learning and Deep Learning technologies, and we continuously innovate and build highly scalable systems to support the growing business and customer engagement.
About the Role
As a Staff Ranking Engineer for Recommendations, you will be responsible for the design, development and maintenance of the end-to-end Recommendation ecosystem. This encompasses our online ranking system, multiple data pipeline that produces the candidates and features (offline and online) used across our different ranking logics, a serving system that produces content for most of Coupang app. You will need to collaborate closely with the Silicon Valley team that share ownership of the system. In a controlled environment, run experiments to validate and launch any features that would improve the customer experience.
Key Responsibilities:
- Own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly.
- Collaborate tightly with the Silicon Valley team to co-build a world class recommendation system
- Mine vast amount of data to gain insights from customer behavior
- Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms
- Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models
- Mentor and grow engineers on the team
Qualifications:
- Master degree in Computer Science, Mathematics or related science majors
- 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
- Strong communication skills.
Preferred Qualifications:
- Professional Korean proficiency
- Ph.D. degree in Computer Science, Mathematics or related science majors
- Industrial experience working with online serving system working at scale
- Write robust and efficient code using Java with unit and integration tests
- Excellent communicator with great listening skills, growth mindset and can-do attitude
