Staff Search Ranking Engineer
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Job Overview:
As a Search Ranking Engineer working on Search Quality and Personalization, you have the opportunity to work with world-class Software Engineers and Data Scientists who have worked for Google, Amazon, Pinterest, etc. You will define and solve hard problems to improve search quality, company-wide personalization experience and help us understand customer’s intention better. We aim at providing customers with a friction-less shopping experience and help customers find useful products that best meet their needs. Your professional skills and experience would help us achieve the goal.
Job Responsibilities:
1. Find headroom for improvement in Search as well as Query Recommendations and Product Recommendations through debugging. Design and deliver end-to-end solutions to help customers find useful products that best meet their needs faster and easier. Iterate on the experiments to improve the conversions.
2. Leverage the state-of-art LLM and DNN technologies to solve various problems in multi-lingual Search, including cross lingual retrieval, cold start, ranking with sparse data, etc.
3. Design and build customer/product/query understanding signals that capture customer’s behavior patterns and shopping preferences, that can be shared across multiple product areas to help improve the customer experience at Coupang.
Qualifications:
1. Bachelor’s degree in Computer Science, Computer Engineering, or related majors
2. 6+ years of solid work with machine learning, nlp, data structures, fundamental algorithms and system design
3. At least 2 years hands-on experience with Information Retrieval/Search/Recommendation Systems
Preferred:
1. Experience on Depp Learning / LLM / multi-lingual search engline.
2. Strong understanding of e-commerce and search/recommendation systems.
3. Ability to identify headroom and opportunities in the system, analyze, simplify and solve problems
4. Passion of defining and developing a revolutionary search engine
5. Self-motivated, with good communication skills and team play
6. Master’s or PhD degree in Computer Science or related Engineer
