Senior, Machine Learning Engineer (Eats Search and Discovery)

Korean text follows English Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 since our inception. We are all entrepreneurs 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 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. What You Will Do Design, develop, operate, and improve the end-to-end Coupang Eats search system Build and implement machine learning models and foundational models across the search funnel Research, fine-tune, and apply LLM-based models to improve search quality Analyze large-scale datasets to discover meaningful features and improve model performance Design and analyze online experiments (e.g., A/B tests) to validate hypotheses Solve search-related problems across multiple business verticals in Korea and Japan Balance trade-offs between search quality, system stability, and scalability Collaborate with stakeholders across engineering, product, and business teams Basic Qualifications 3+ years of experience developing and deploying machine learning models using large-scale datasets in production environments Proven track record of solving complex problems through data-driven approaches Strong ability to quickly learn, proactively identify problems, and deliver business impact Experience collaborating across teams and contributing to technical decision-making Proficiency in Python or Java with hands-on development experience Preferred Qualifications Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field Industry experience applying and tuning LLMs for search quality improvement Experience working with large-scale online serving