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.
Role Overview
As a Staff Machine Learning Engineer on the TW Engineering team, you will drive the technical vision and architecture for understanding billions of e-commerce items. You will build the core machine learning foundation that transforms raw item data into structured intelligence, serving as a critical bridge between upstream product onboarding and downstream growth marketing, discovery engines (Search & Recommendation) for Taiwan consumers.
In this role, you will lead the end-to-end design of complex Catalog, Retail, Marketplace and Growth Marketing ML systems from scratch, tackle extreme scale, and leverage both Coupang’s proprietary Foundation Models and state-of-the-art (SOTA) LLMs/Multimodal models. You will partner closely with product, business, and cross-functional engineering teams, setting the standard for technical excellence and mentoring engineers along the way.
What You Will Do
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- Technical Vision & System Architecture: Lead the architecture and end-to-end execution of large-scale systems understanding from scratch (0-to-1), transforming unstructured text and visual item data into high-precision product knowledge and representations.
- LLM & Foundation Model Innovation: Harness, fine-tune, and deploy Coupang’s proprietary Foundation Models alongside SOTA LLMs/VLMs. Establish robust data governance pipelines, domain-specific adaptation strategies, and rigorous benchmark evaluation frameworks for production workloads.
- End-to-End Stakeholder & Cross-Domain Enablement: Partner closely with upstream Product Selection & Onboarding teams (to improve item data quality at the source) and downstream Growth Marketing, Search & Recommendation teams (to boost retrieval and ranking relevance).
- Scale & Engineering Excellence: Solve latency, throughput, and scalability challenges inherent in processing billions of catalog items, ensuring highly reliable, low-latency online serving and offline batch processing.
- AI-Powered Workflow Acceleration: Drive team efficiency by adopting state-of-the-art AI tools for rapid ML prototyping, automated data profiling, and intuitive visual storytelling to demonstrate impact to business partners.
- Technical Leadership & Mentorship: Raise the technical bar across the organization through technical design reviews, MLOps best practices, and active mentorship of junior and senior engineers.
Basic Qualifications
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- Solid understanding and rich experience in deep learning/traditional machine learning. Hands-on experience in Machine Learning and Deep Learning, with a proven track record of designing, building, and deploying production ML systems from scratch (0-to-1) at scale.
- Deep expertise in prompt engineering, domain-specific adaptation, PEFT, and fine-tuning of Large Language Models (LLMs) and Multimodal models (using both SOTA open/closed models and proprietary baselines), backed by strong data governance and evaluation methodologies.
- Demonstrated proficiency in leveraging modern AI tools (e.g., AI coding assistants, LLM-powered data analytics, and automated visualization tools) to accelerate ML modeling workflows, deep-dive data analysis, and technical result visualization.
- Exceptional communication skills with a proven ability to align with cross-functional stakeholders (product, business, leadership), articulate complex technical concepts clearly, and convincingly demonstrate business impact.
- Strong computer science fundamentals and system design capability. Highly proficient in production-grade code development (Python, Java, C++, or Go) and distributed computing frameworks (e.g., Spark, Ray, PyTorch distributed).
Preferred Qualifications
- Deep experience in Catalog, Retail or Growth Marketing Domain Understanding (attribute extraction, taxonomy classification, entity resolution) and Image/Multimodal Perception (e.g., visual attribute extraction, image-text alignment, OCR, content-based product representation).
- Practical experience in building end-to-end MLOps pipelines (automated dataset management, continuous training, dynamic evaluation, and model monitoring).
- Prior experience serving as a Tech Lead / Staff Engineer mentoring cross-functional teams and defining long-term engineering roadmaps.
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
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