이 공고, 이렇게 물어볼 겁니다

과거에 추천 시스템 또는 정보 검색 도메인에서 AI/ML 모델을 개발하여 실제 비즈니스 지표(예: CTR, 전환율)를 개선한 구체적인 경험을 설명하고, 그 과정에서 어떤 가설을 세우고 어떤 실험을 진행했는지 설명해 주세요.

🎯 실제 데이터 기반의 문제 해결 능력과 실험 설계 능력을 확인

Ads Relevance 팀의 목표는 '최적의 관련성(relevance)'을 달성하는 것입니다. 최신 LLM이나 TTM 모델을 적용할 때, 최첨단 연구 결과와 실제 프로덕션 환경의 제약 조건 사이에서 '최적적이고 실용적인(optimal and practical)' 엔지니어링 결정을 내린 구체적인 사례를 들어주세요.

🎯 기술적 깊이와 현실적인 제약 조건 하에서의 의사결정 능력을 확인

AI 모델 개발 라이프사이클을 가속화하기 위해 코딩 에이전트(예: Claude Code, Devin)와 같은 새로운 도구를 실제 개발 프로세스에 어떻게 통합하여 생산성을 높였는지, 그리고 그 결과로 개발 속도가 얼마나 향상되었는지 숫자로 설명해 주세요.

🎯 최신 기술 트렌드를 빠르게 습득하고 이를 생산성 향상에 적용하는 민첩성(Agility)을 확인

광고/추천 시스템 도메인 경험이 있다면, 이 경험을 바탕으로 데이터 기반의 의사결정을 통해 팀이나 타 부서(예: 마케팅, 영업)를 설득하고 공동의 목표를 달성했던 협업 사례를 설명해 주세요.

🎯 기술 지식을 넘어선 커뮤니케이션 능력과 비즈니스 이해도를 확인

당신이 속한 팀이 새로운 AI 기능을 출시할 때, 기술적 우수성을 확보하는 것과 동시에 엔드 유저(고객)에게 제공되는 경험의 질을 유지하는 균형을 어떻게 맞추었는지, 그 과정에서 발생했던 가장 큰 기술적 난관과 이를 어떻게 해결했는지 설명해 주세요.

🎯 기술적 목표와 사용자 경험(UX) 사이의 균형을 찾는 포괄적인 시각을 확인

질문만 읽으면 컨닝이에요. 소리 내어 답해보세요 — 어디서 틀어지는지 짚어드립니다.

공고 내용

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.

· Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc.

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