Staff Machine Learning Engineer (Ads Relevance) at Coupang · Seoul

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. Role Overview Coupang Ads is responsible for providing vendors that sell their products on Coupang with a host of marketing products and services. We launched the Product Ads performance advertising marketplace in late 2018. We have grown rapidly into a multi-billion USD ads business over the past few years, and we continue to grow fast. Our org is responsible for advertising brands and products on our e-commerce platform, a crucial aspect of our business that rivals the success seen by giants like Alibaba and Amazon. The Ads Relevance team, a key part of the Ads organization, is at the forefront of developing cutting-edge AI/ML models to deliver contextually relevant advertisements to Coupang's customers. Rather than chasing "the best" in a vacuum, our team pursues optimal and practical engineering. To achieve the highest possible relevance quality within given resources, we foster a collaborative environment where we study the latest literature, engage in deep discussions, and conduct diverse experiments together. Our tech stack for achieving optimal relevance is broad and sophisticated, spanning the latest Large and Small Language Models (LLMs), two-tower embedding models (TTMs), and DNN models. We are constantly striving for technical excellence across these domains to push the boundaries of what's possible. At Ads Relevance, we thrive on data-driven decision-making and experimentation. In an era of rapid AI evolution and the emergence of next-gen tools like coding agents, we embrace new challenges with agility. We foster a culture of horizontal collaboration and open idea-sharing to stay ahead in this fast-paced landscape. We are looking for passionate individuals who are eager to create better ad experiences and contribute to our innovative team. Qualifications Over 5 years of industry experience in software engineering, specializing in machine learning, language modeling, recommendation systems, and information retrieval. Strong problem-solving skills through scientific approaches such as observation, hypothesis, experimentation, evaluation, and analysis. Ability to quickly keep up with the latest research trends and apply them to production. Ability to accelerate AI model development lifecycles by leveraging coding agents such as Claude Code and Devin. Proficient in writing logical and technical documentation. Ability to work effectively in multicultural, cross-functional teams. Bachelor's degree in computer science, engineering, mathematics, physics, science, or equivalent. Preferred Qualifications: Industry Experience in the advertising, recommendation systems, or search engine domains. Master's or Ph.D. degree in computer science, engineering, mathematics, physics, science, or equivalent. Recruitment Process and Others Recruitment Process Application Review - 1st Virtual Interview - 2nd Virtual 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. We are proud to offer equal opportunities for all applicants. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.