12 hours ago
Seoul, Korea, SouthStaff+
Responsibilities
- Own the machine learning strategy, metrics, and execution for improving brand, store, dish, and product retrieval and conversion.
- Improve query intent and entity understanding, menu and restaurant representation, typo tolerance, synonym expansion, and query rewriting.
- Develop scalable, low-latency lexical, semantic, and hybrid retrieval strategies, including indexing, feature pipelines, and model lifecycle management.
- Establish offline evaluation, human judgment, online experimentation, guardrail metrics, and diagnostics for tail queries, cold-start cases, and customer segments.
- Apply machine learning, embeddings, and LLMs to query and menu understanding, candidate generation, labeling, evaluation, and defect analysis.
- Build reusable search capabilities while adapting language understanding, cuisine taxonomies, customer preferences, and marketplace signals across markets.
- Coach machine learning engineers and infrastructure engineers and collaborate with data analysts.
- Establish a multi-year roadmap and lead projects across machine learning and engineering.
Requirements
- At least 10 years of experience in search, information retrieval, or NLP.
- Deep expertise in product understanding, retrieval, relevance, and modern LLM techniques.
- Proven delivery of large-scale consumer search systems with measurable customer and business impact.
- Experience designing retrieval methods for distributed, low-latency systems at scale with relevance guarantees.
- Master’s or Ph.D. in computer science or a related technical field.
- Food delivery, local commerce, e-commerce, or advertising experience is preferred.
- Experience with hyperlocal, time-sensitive ranking using location, availability, delivery time, price, and promotion signals is preferred.
- Multilingual or localized search experience across markets is preferred.
- Practical experience with embeddings, transformers, and LLMs that delivered measurable impact is preferred.
- Publications in search, NLP, e-commerce, or advertising are preferred.
Benefits
- The recruitment process includes application review, a first interview, virtual onsite interviews, and an offer, subject to variation based on scheduling or other circumstances.
- Coupang is an equal opportunity employer and does not discriminate against applicants with disabilities or veteran status.
Categories
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).