Staff Machine Learning Engineer (Eats Search & Discovery)

Coupang
Seoul, South KoreaPosted 26 March 2026

Job Description

About Coupang 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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 at 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. Team Overview Coupang Eats is offering both food delivery and quick-commerce solutions to Korean customers. Additionally the food delivery experience is also available in the Japanese market. Within this space, the team is responsible for the search funnel for these 3 verticals. This encompasses all the different layers of search (retrieval, relevance, query understanding, ranking, etc.). Search is a fast-growing area, and we are working to improve the quality of search to ensure that customers find the best dish, store or item for them. We use the state-of-the-art Machine Learning and Deep Learning technologies to ensure the best quality of search, and we are continuously innovating and building highly scalable systems to support the growing business and customer engagement. Role Overview As a Staff Machine Learning Engineer for Search, you will be responsible for the design, development, maintenance, and improvement of the end-to-end search quality and systems. Since the scope ranges across all the search layers (retrieval, relevance query understanding, intent expression, ranking, etc.) there are a wide range of customer problems to resolve. This will require designing and maintaining multiple foundational models. You will run experiments to validate in a controlled environment and launch any features and ranking improvements that would improve the customer experience. Key Responsibilities Tech Leader for the Coupang Eats Search system, the most important funnel for customer to discover the food they need Operate across two different business verticals across two different markets Develop new Machine Learning models to improve the end-to-end search quality Build the foundational LLM models powering the search system Improve the search quality through experimentation Qualifications 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 Tech lead working with coworkers across teams to solve critical customer problems Strong communication skills and full proficiency in English or Korea Preferred Qualifications Master’s or Ph.D. degree in Computer Science, Mathematics or related science majors Industrial experience leveraging and tuning LLM for search quality improvement Industrial experience working with online serving system working at scale Excellent communicator with great listening skills, growth mindset and can-do attitude Strong communication skills and full proficiency in English and Korea Recruitment Process Application Review - 1st ... (truncated, view full listing at source)
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