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aboutcoupang.comHQ: Seattle, WA, USCEO: Bom Kim108000 employees

Coupang, Inc., together with its subsidiaries, owns and operates retail business through its mobile applications and internet websites in South Korea and internationally. It operates through Product Commerce and Developing Offerings segments. The Product Commerce segment includes Korean retail and marketplace offerings; Rocket Fresh, a fresh grocery offering; and advertising products. The Developing Offerings segment offers Eats, a restaurant ordering and delivery service; Play, an online content streaming service; fintech activities; and Farfetch, a luxury fashion marketplace. It also performs operations and support services in the United States, South Korea, Taiwan, Singapore, China, Japan, Europe, the United Kingdom, and India. Coupang, Inc. was incorporated in 2010 and is headquartered in Seattle, Washington.

Sector:Specialty Retail

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Staff, Back-end Engineer (Global Operations Technology)

On-sitefull timeLead / StaffSeoul, South Korea
Apply Now

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 we 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 at 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 The Global Operations Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Staff Backend Engineer in GOT, you will leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. What You Will Do Design and develop system architecture for Global Operations Technology to ensure stable operations. Develop front/back office web services based on the Java platform. Identify dependencies across multiple domains and develop system integrations. Evaluate and adopt new technologies to enable efficient development and operations. Implement optimization algorithms to find the most cost-effective and fastest delivery methods based on rule-based logic. Qualifications Experience developing web applications using Java and Spring Framework. 7+ years of programming experience. 5+ years of hands-on experience in web application development and operations, or equivalent capabilities. Interest in experiencing Coupang’s global-level logistics systems and diverse domains. Passion for developing high-availability systems that handle large-scale traffic in a microservices architecture (MSA) environment. Preferred Qualifications Experience or understanding of microservices architecture-based system development. Experience or understanding of service development and operations in cloud environments. Experience with asynchronous event-driven architecture for large-scale processing. Experience improving code quality through development best practices. Experience with ORM tools such as JPA or Hibernate and domain modeling. Experience developing e-commerce services. Experience with build/test/deployment automation. Experience handling large-scale data using NoSQL technologies (e.g., Memcached, Redis). 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. Coupang does not discriminate against disabled applicants or those with veteran status. 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@coupang.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. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 조직 소개 Global Operations Technology(GOT) 조직은 쿠팡의 배송, 물류 시스템 전체를 총괄하고 혁신을 이끌고 있는 조직으로 주문이 접수된 후 빠르고 정확하게 배송하는 로켓배송 시스템을 담당합니다. GOT 조직에서는 최신 배송, 물류 프로세스를 도입하고 고객에게 빠르고 정확한 서비스를 제공하고, 쿠팡없이 어떻게 살았을까?를 실현하기 위해 시스템을 구축하며, 사용자 관점의 특화된 서비스와 프로세스를 위해 신기술을 적용합니다. 업무 내용 Global Operations Technology 시스템 아키텍처 설계 및 개발을 통해 안정적인 운영 환경 구축 Java 기반 Front/Back Office 웹 서비스 개발 및 운영 다양한 도메인 간 의존성 정의 및 시스템 연동 개발 비즈니스 요구사항 기반 신규 기술 도입 검토 및 효율적인 개발/운영 환경 구축 고객 주문을 최소 비용으로 빠르게 배송하기 위한 최적화 알고리즘 설계 및 적용 자격 요건 Java 및 Spring Framework 기반 웹 애플리케이션 7년 이상의 개발 경력을 보유하신 분 대규모 웹 애플리케이션 개발 및 운영 경험을 보유하신 분 복잡한 도메인 및 대규모 시스템 환경에 대한 이해와 학습 의지가 있으신 분 MSA 환경 또는 대규모 트래픽/고가용성 시스템에 대한 관심이 높으신 분 우대 사항 Microservices Architecture 기반 시스템 개발 경험 또는 이해가 있으신 분 Cloud 환경에서의 서비스 개발 및 운영 경험이 있으신 분 비동기/Event-Driven Architecture 경험이 있으신 분 코드 품질 향상을 위한 개선 및 리팩토링 경험이 있으신 분 JPA, Hibernate 등 ORM 사용 및 도메인 모델링 경험이 있으신 분 E-Commerce 서비스 개발 경험이 있으신 분빌드/테스트/배포 자동화(CI/CD) 경험이 있으신 분 Redis, Memcached 등 NoSQL을 활용한 대용량 데이터 처리 경험이 있으신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

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Software EngineeringVia Greenhouse
Verified8 days ago

Staff Backend Engineer (Streaming & AI Infrastructure)

On-sitefull timeLead / StaffSeoul, South Korea
Apply Now

Company Introduction 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 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. Role Overview As part of our Application Infrastructure org, this is a team building Coupang’s next-generation Real-Time Streaming & AI Platform that powers the end customer website and mobile apps . We are looking for a visionary Staff Software Engineer to lead the architectural design of a platform capable of processing over 100k+ events per second with sub-second, end-to-end latency . This system will serve as the central nervous system for Coupang, enabling real-time product and customer data and instant personalization. You will build a system that doesn't just meet industry standards but sets them, ensuring 5-6 nines availability while leveraging AI to optimize data flows and automate complex system behaviors. Responsibilities Architect for Velocity: Lead the end-to-end design of a distributed streaming engine. You will Build the Best Team and Help Them Grow by setting the gold standard for high-throughput, low-latency architectural integrity. Define Extreme Performance: Design for "5-6 nines" (99.9999% availability) at a throughput of 100k+ events/sec. You will Dive Deep into JVM tuning, memory management, and network I/O to ensure sub-second latency across global clusters. AI-Driven Streaming: Integrate AI/ML models directly into the stream processing path. Implement predictive scaling and intelligent load balancing to ensure we Wow the Customer through seamless, real-time platform responsiveness. Solve Hard Problems: Address challenges related to distributed consistency, at times, exactly-once processing guarantees, and backpressure management. You must Be Data-Driven to validate architectural decisions against massive, bursty traffic patterns. Lead with Influence: As a Staff Engineer, you will Influence without Authority , collaborating with domain teams to migrate legacy batch processes to real-time streaming architectures. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field. 6+ years of experience in backend software development. Expert-level experience in Cassandra, TiDB, or DynamoDB Expert-level proficiency in Java and the Spring Framework. Demonstrated experience in building and maintaining highly available, distributed systems in cloud environments (AWS). Experience with high-volume messaging systems (e.g., Kafka, SQS). Preferred Qualifications Extensive Experience: 10+ years of professional software development experience building backend infrastructure that supports global-scale, real-time traffic. Performance Expert: Proven track record of optimizing JVM applications for ultra-low latency (<100ms p99s) and high concurrency. AI Integration: Experience or a strong architectural vision for using AI/ML to automate system-level functionality, such as real-time anomaly detection in data streams. Distributed Systems Expert: Deep understanding of the CAP theorem, consensus algorithms, and building fault-tolerant systems from the ground up. Observability Expert: Expertise in building highly observable systems using distributed tracing and advanced telemetry to proactively identify bottlenecks in the streaming pipeline. 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. Things 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. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located HERE . 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 the request to the Company by email ( recruitingops@coupang.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 of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

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Software EngineeringVia Greenhouse
Verified8 days ago

Staff Backend Engineer (Streaming & AI Infrastructure)

On-sitefull timeLead / StaffWorldwide (On-site)
Apply Now

Company Introduction 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 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. Role Overview As part of our Application Infrastructure org, this is a team building Coupang’s next-generation Real-Time Streaming & AI Platform that powers the end customer website and mobile apps . We are looking for a visionary Staff Software Engineer to lead the architectural design of a platform capable of processing over 100k+ events per second with sub-second, end-to-end latency . This system will serve as the central nervous system for Coupang, enabling real-time product and customer data and instant personalization. You will build a system that doesn't just meet industry standards but sets them, ensuring 5-6 nines availability while leveraging AI to optimize data flows and automate complex system behaviors. Responsibilities Architect for Velocity: Lead the end-to-end design of a distributed streaming engine. You will Build the Best Team and Help Them Grow by setting the gold standard for high-throughput, low-latency architectural integrity. Define Extreme Performance: Design for "5-6 nines" (99.9999% availability) at a throughput of 100k+ events/sec. You will Dive Deep into JVM tuning, memory management, and network I/O to ensure sub-second latency across global clusters. AI-Driven Streaming: Integrate AI/ML models directly into the stream processing path. Implement predictive scaling and intelligent load balancing to ensure we Wow the Customer through seamless, real-time platform responsiveness. Solve Hard Problems: Address challenges related to distributed consistency, at times, exactly-once processing guarantees, and backpressure management. You must Be Data-Driven to validate architectural decisions against massive, bursty traffic patterns. Lead with Influence: As a Staff Engineer, you will Influence without Authority , collaborating with domain teams to migrate legacy batch processes to real-time streaming architectures. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field. 6+ years of experience in backend software development. Expert-level experience in Cassandra, TiDB, or DynamoDB Expert-level proficiency in Java and the Spring Framework. Demonstrated experience in building and maintaining highly available, distributed systems in cloud environments (AWS). Experience with high-volume messaging systems (e.g., Kafka, SQS). Preferred Qualifications Extensive Experience: 10+ years of professional software development experience building backend infrastructure that supports global-scale, real-time traffic. Performance Expert: Proven track record of optimizing JVM applications for ultra-low latency (<100ms p99s) and high concurrency. AI Integration: Experience or a strong architectural vision for using AI/ML to automate system-level functionality, such as real-time anomaly detection in data streams. Distributed Systems Expert: Deep understanding of the CAP theorem, consensus algorithms, and building fault-tolerant systems from the ground up. Observability Expert: Expertise in building highly observable systems using distributed tracing and advanced telemetry to proactively identify bottlenecks in the streaming pipeline. 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. Things 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. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located HERE . 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 the request to the Company by email ( recruitingops@coupang.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 of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

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Software EngineeringVia Greenhouse
Verified8 days ago

Staff, Data Scientist (Ads Analytics)

On-sitefull timeLead / StaffMountain View, United States
Apply Now

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 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 The Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings. The Coupang Ads Product Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on Ecommerce, and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives. What You Will Do As a Staff Data Scientist at Coupang Ads, you will be responsible for : Product and Monetization strategy : develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue Metrics : deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts Forecasting : design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting A/B Testing : design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers Tell a Concise Story : At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes. Basic Qualifications Master’s Degree in Computer Science, Electrical Engineering, Math or a closely related field 4 years of Data Scientist experience in customer-facing technology companies Expertise in experimentation and statistics Preferred Qualifications The ideal candidate has 6+ years of experience as a data scientist performing ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting. Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains. Strong SQL Python or R for statistical analysis Hive, Presto, Airflow Experience with ML modeling design, deployment, and optimization Strong statistics background Experience in working on backend and ML systems for large-scale user-facing products Data visualization (e.g., Tableau, Qlik, Looker, Power BI) Excellent quantitative analysis skills Strong presentation and communication skills Highly organized and detail-oriented Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HAS) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV- [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale. 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. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ C oupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID : R0073020

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

Staff, Data Scientist (Ads Analytics)

On-sitefull timeLead / StaffWorldwide (On-site)
Apply Now

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 개요 : Coupang Ads는 쿠팡 내에서 광고 플랫폼을 담당하는 조직입니다. 세계 곳곳에 분산되어 있는 조직인 Coupang Ads는 쿠팡 플랫폼에서 상품을 판매하는 업체들을 위한 광고 솔루션을 제공하는 데 집중합니다. 디스플레이 광고, 검색 광고, 성과형 광고, 브랜딩 광고, 비디오 광고 등이 Coupang Ads가 제공하는 광고 솔루션에 포함됩니다. Ads Analytics 팀은 쿠팡 광고 솔루션의 수익을 극대화하고 사용자가 광고에서 가치를 얻고 전체 광고 비즈니스에 걸쳐 프로덕트 전략을 수립할 수 있도록 지원합니다. 데이터를 통합하여 실행 가능한 통찰력을 제공하고, 복잡한 비즈니스 질문에 답변하며, 고객에 대한 심도 있는 이해를 돕고 있습니다. 우리는 Ecommerce 뿐 아니라 Eats앱에서의 쿠팡 광고 사업에 초점을 맞추고 있으며, KPI를 분석하고, A/B 및 다변수 테스트 이니셔티브의 성공을 분석함으로써 이를 수행하고 있습니다. 담당 업무 : Coupang Ads의 Staff Data Scientist 로서 다음의 업무를 담당하게 됩니다. 제품 및 수익화 전략 : 다양한 입찰 및 수익화 모델을 개발하고 테스트하며, 변화가 수익에 미칠 수 있는 영향을 시뮬레이션합니다. 지표 : 상품 채택, 사용, 성과 및 이탈에 대한 보고에 사용되는 일련의 핵심 성과 지표(KPI)를 제공합니다. 그룹의 수익화 노력이 효과가 있는지 파악할 수 있도록 가시성을 제공합니다. 예측 : 인벤토리 및 수익 예측 모델을 수익 최적화 프로세스의 중요한 구성 요소로 설계 및 유지, 관리합니다. 판매 패턴을 분석하여 동향을 파악하고 재무 예측을 지원합니다. A/B 테스트 : A/B 테스트를 설계, 수행, 분석 및 인사이트를 발굴하여 상품 이터레이션에 대해 알리고 우선순위를 정합니다. 통계적 엄밀성을 가지고 이를 수행하고 시험 결과 동인에 대한 "왜?"라는 질문에 대답하기 위해 코호트 연구를 수행합니다. 간결한 스토리 전달 – 테스트 완료 시 시의적절하고 설득력이 있으며 사실에 기반한 테스트 내용을 정리해 데이터와 테스트 결과에 숨겨진 비즈니스 “스토리를” 강력히 전달합니다. 기본 자격 요건 : 이상적인 후보자는 광고 데이터 분석, 비즈니스 분석, 재무 분석, 시장 조사 및 경영진 보고를 수행하는 데이터 과학자로서 8년 이상의 경험을 가진 분입니다. 뛰어난 SQL 활용 역량 탁월한 정량적 분석 스킬 우수한 프레젠테이션 및 커뮤니케이션 스킬 매우 체계적이고 디테일 중심적인 사고 빠른 속도로 움직이는 조직에서 여러 이해 관계자를 위해 다수의 프로젝트를 동시에 관리할 수 있는 역량 학사 학위 소지자 우대 사항: 광고기술 / 광고(검색, 디스플레이, 브랜딩, 리타겟팅, 소셜미디어, 스트리밍 비디오 등), 디지털 마케팅, 광고 에이전시 또는 관련 도메인에서의 경험 통계 분석을 위한 Python 또는 R 활용 역량 Hive, Presto, Airflow 기술 분야 석사학위 소지자 통계 분야 경험이 많은 분 데이터 시각화 (예: Tableau, Qlik, Looker, Power BI) 머신 러닝 경험 전형 절차 및 안내사항 전형 절차 서류전형 > 1차 면접 > 2차 면접 > 처우협의 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류 반환 정책 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. Role Overview: Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings. Ads Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on E-commerce as well as Eats app and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives. What you will do: As a Staff Data Scientist at Ads, you will be responsible for - Product and Monetization strategy : develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue Metrics : deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts Forecasting : design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting A/B Testing : design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers Tell a Concise Story – At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes. Basic Qualifications: The ideal candidate has 8+ years of experience as an Analyst performing ads data analysis, business analysis, financial analysis, market research, and executive reporting. Strong SQL Python or R for statistical analysis Hive, Presto, Airflow Excellent quantitative analysis skills Strong communication skills Highly organized and detail-oriented Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization Bachelors’ degree Preferred Qualifications: Strong statistics background Data visualization (e.g., Tableau, Qlik, Looker, Power BI) Machine Learning experience Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains. Master's degree in a technical field 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. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ 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 the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). 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 of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

Staff Data Scientist (Marketing)

On-sitefull timeLead / StaffTaipei, Taiwan
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Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview: As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business What You Will Do: Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions. Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns. Train and deploy machine learning models on both in-house and cloud-based platforms. Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns. Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP. Conduct hypothesis testing, A/B testing and regression analysis on online ad performance. Create a data pipeline to ensure data availability and quality. Interpret and present your data story to marketing leadership. Foster an analytic culture as part of a growing data team. Basic Qualifications 5+ years’ working experience in machine learning. 3+ years’ working experience in SQL. 3+ years’ working experience in Python. Attention to the detail with ability to validate data, identify data flaws, and create analytical reports. Strong critical thinking and problem-solving skills. Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment. Strong communication skills to share analysis results in clear and concise manners. Proficiency in both Mandarin and English (both verbal and written). Preferred Qualifications: Experience in retail / E-commerce industries. Experience in growth marketing and CRM function. Master’s degree in business analytics, data analytics, data science or equivalent experience. Experience in data ETL and data engineering. Experience in AWS or GCP. Strong English skills (both verbal and written). 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. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. 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/

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

IP Operations Shift Manager Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview The IP Operations Team serves as a strategic firewall dedicated to preserving brand integrity and marketplace trust. We execute a dual-layered approach of proactive defense and forensic verification, including IP Monitoring to remove counterfeits and Seller Gating to vet distribution channels. Our team also manages high-stakes Appeals and IPR enforcement, conducting forensic audits of supply chain documentation to resolve disputes and mitigate legal risks. As an IPO Shift Manager , you will be responsible for the daily execution of our Intellectual Property protection mission. Reporting to the IPO Manager, you will lead a team of agents in a fast-paced, shift-based environment. Your goal is to ensure that every ticket—whether it is a counterfeit detection, seller gating review, or IPR report—is handled with precision, speed, and in full compliance with Coupang’s standards. You are a coach, a people manager, and an operational expert. What will you do? People & Performance Management: Lead, mentor, and manage the daily performance of a team of agents. Conduct regular 1-on-1s, identify performance gaps, and provide real-time coaching to improve accuracy and productivity. Shift & Resource Governance: Manage shift schedules to ensure 24/7 operational coverage, including holiday planning and emergency backup coordination. Monitor real-time ticket queues to balance workload effectively across the team. Quality & SLA Oversight: Ensure the team consistently meets or exceeds Service Level Agreements (SLA). Conduct primary spot checks on high-risk cases (Seller Gating and Appeals) to ensure agents are following forensic protocols. Escalation Handling: Act as the first point of escalation for complex cases. Support agents in making "tough calls" regarding inventory deactivation or seller rejections. Process Feedback Loop: Identify recurring operational bottlenecks and provide feedback to the L5 Manager and Policy teams to refine Standard Operating Procedures (SOPs). Essential Qualifications Experience: Minimum 2–3 years of experience in people management or team leadership within a contact center, shared service, or high-volume operations environment. Industry Knowledge: Basic understanding of Intellectual Property Rights (IPR), e-commerce compliance, or risk management. Leadership: Proven ability to motivate a team and manage performance through data-driven coaching. Communication: Ability to translate complex instructions into clear, actionable tasks for agents. Analytical Skills: Proficiency in using Office Automation (OA) tools and Excel to track team metrics and generate shift reports. Resilience: Comfortable working in a high-pressure, fast-paced environment with the flexibility to support rotating shifts if required . Extra Qualifications (Preferred) Forensic Mindset: Experience in document verification, fraud detection, or anti-money laundering (AML) is a strong plus. Technical Savvy: Familiarity with SQL or data visualization tools (PowerBI/Tableau) to assist in identifying team performance trends. Continuous Improvement: Experience with Six Sigma, Lean, or other process improvement methodologies. Language: English or Korean speaking ability is a strong plus for cross-regional collaboration. 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. Things 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.

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QA & AutomationVia Greenhouse
Verified8 days ago

Staff, Machine Learning Engineer - Coupang Play

On-sitefull timeLead / StaffSingapore, Singapore
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About Coupang Play Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports. We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood ”, “Anna ”, and “SNL Korea ”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers . To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX. We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers . Role Overview As a Staff Machine Learning (ML) Engineer at Coupang Play , you will work on our large and increasing catalog of content including streaming video on-demand titles , live events , as well as transactional video on-demand titles . You will mine large amount of playback data to gain insights from OTT subscriber behavior ; create data jobs to generate machine learning features ; build , train and improve new or existing models ; participate in building the framework used for contents recommendations and personalization by leveraging all available data sources , machine learning tools , and other technical platforms . You will work closely with our Product and Engineering teams to build our recommendation and personalization systems . What You Will Do Build next generation content recommendation and ad personalization systems for Coupang Play Develop data requirements and coordinate with relevant engineering and business teams to setup data collection as well as to validate data Develop necessary features for models using the collected data and train relevant models using scientific tools and coding Integrate model inference implementations into our production systems Setup necessary testing requirements for the models in production, including A/B testing, and analyze results to gather insights about model performance Basic Qualifications Bachelor's degree in computer science,Electrical Engineering, Statistics, Mathematics, or related field 7+years of experience in building ML products, with at least 2 years of experience in content recommendation or ad personalization domain Experience building and deploying large-scale recommendation and personalization systems in production Proficiency in Python and at least one deep learning framework (e.g. PyTorch, Tensorflow, or Keras) Strong statistical background in experimentation and modeling Deep product sense, self-starter and ability to drive critical projects in fast-paced environment Excellent communication skills in English and a collaborative mindset Preferred Qualifications MS or PhD in degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Excellent software engineering skills with a proven record of high quality product delivery Experience in training, evaluating, fine-tuning, and deploying models (e.g. LLM) in production Experience with AWS or other cloud system and familiarity with using GPUs Recruitment Process and Others Recruitment Process Application Review - 1st Interview - 2nd Tech Interview - Leadership 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 will be prioritizing applicants who have a current right to work in Singapore and do not require company sponsorship for an employment visa. 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. This will be communicated to the candidate at the appropriate time before the offer. 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 located below. https://privacy.coupang.com/en/land/jobs/

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

Staff, Machine Learning Engineer - Coupang Play

On-sitefull timeLead / StaffSeoul, South Korea
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쿠팡플레이 소개 쿠팡플레이는 쿠팡 와우회원뿐 아니라, 누구나 다양한 콘텐츠를 즐길 수 있는 쿠팡의 OTT(over-the-top) 서비스입니다. 오리지널 콘텐츠, TV 시리즈, 최신 영화, 스포츠, 키즈 & 패밀리, 뉴스 등 대한민국에서 가장 포괄적인 콘텐츠 라인업을 자랑합니다. 또한 를 비롯한 다양한 스포츠 이벤트와 최정상 아티스트들의 콘서트 등, 차별화된 오프라인 이벤트를 기획·운영하며, 끊임없이 새로운 화제를 만들어가고 있습니다. 쿠팡플레이는 언제 어디서나 최적의 시청 경험을 제공합니다. 대한민국에서 공식 판매되는 모든 모바일 기기, 태블릿, 스마트 TV, PC, 애플 TV, 안드로이드 TV 등 다양한 디바이스에서 이용할 수 있습니다. 서울, 싱가포르, 미국 캘리포니아 등에 분포된 글로벌 테크 전담 조직은 고객이 콘텐츠를 더 쉽게 발견하고 더 쾌적하게 시청할 수 있도록 지속적으로 경험을 개선해 가고 있습니다. 세계 최고의 동료들과 함께 가장 도전적인 문제를 해결하며 새로운 가치를 만들어 가고 싶은 분, 젊고 발 빠르게 움직이는 조직에서 자신의 역량을 급격하게 성장시키고자 하는 분들의 많은 지원을 바랍니다. 직무 소개 Staff Machine Learning Platform Engineer로서, OTT 콘텐츠 추천, 개인화 및 사용자 시청 경험을 지원하는 확장 가능한 머신러닝 플랫폼과 프로덕션 ML 서비스를 설계, 구축 및 운영합니다. 데이터 처리, 피처 엔지니어링, 모델 학습·평가·배포·모니터링·실험·지속적 개선에 이르는 머신러닝 전체 라이프사이클을 지원하며, 대규모 트래픽 환경에서 안정적이고 낮은 지연(latency)의 시스템을 구현합니다. 또한, 쿠팡플레이에서 콘텐츠 탐색(content discovery)과 사용자 참여도(engagement)에 직접적인 영향을 미치는 ML 시스템을 구축하며, ML 플랫폼 아키텍처, 운영, 및 엔지니어링 베스트 프랙티스 전반에 걸쳐 기술적 리더십을 제공합니다. 업무 내용 데이터 처리, 피처 엔지니어링, 모델 학습, 평가, 배포, 모니터링, 실험을 포함하는 end-to-end ML 플랫폼을 설계 및 구축·운영 사용자 경험을 지원하는 High-throughput, low-latency의 실시간 추론 시스템 및 ML API 설계 및 개발 대규모 프로덕션 환경에서 ML 시스템의 안정성, 가용성, 관측성 및 운영 효율성 확보 ML Scientist, 데이터 엔지니어, 백엔드 엔지니어, 프로덕트 매니저 및 콘텐츠 도메인 전문가와 협업하여 비즈니스 요구사항을 확장 가능한 ML 솔루션으로 전환 ML 플랫폼 아키텍처, 프로덕션 ML 운영, 멀티모달 모델 활용, 엔지니어링 전략 전반에 대한 기술적 리더십 제공 추천 품질 및 개인화를 고도화하여 사용자 참여도(예: 시청 시간, 클릭률 등)를 개선하는 ML 플랫폼 역량 고도화 자격 요건 컴퓨터공학, 머신러닝, 인공지능 또는 관련 분야 학사 이상 7년 이상의 ML 제품 개발 및 운영 경험, 그 중 최소 2년 이상 추천, 개인화 또는 대규모 사용자 대상 ML 시스템 경험이 있으신 분 대규모 트래픽 환경에서 실시간 추론 시스템, ML API, 모델 서빙 인프라 구축 경험이 있으신 분 Python 및 PyTorch, Spark, Airflow 등 최신 ML 프레임워크 및 플랫폼 도구 활용 경험이 있으신 분 분산 시스템, 클라우드 인프라, 마이크로서비스, 컨테이너, 오케스트레이션 및 CI/CD에 대한 이해가 있으신 분 프로덕션 ML 시스템 운영 경험 (모니터링, 관측성, 알림, 모델 성능 관리, 데이터 품질 검증, 장애 대응 및 신뢰성 개선 등)이 있으신 분 다양한 직군과 원활하게 협업할 수 있는 커뮤니케이션 역량이 있으신 분 우대 사항 다음 영역 중 하나 이상의 경험이 있으신 분 추천 시스템 및 랭킹 모델 멀티모달 또는 비디오 이해 모델 LLM 기반 모델 개발 및 운영 모델 아키텍처, 학습, 파인튜닝, 평가 및 프로덕션 배포 경험이 있으신 분 대규모 분산 ML 시스템 또는 GPU 기반 학습 경험이 있으신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 1차 면접 - 2차 Tech 면접 - 리더십 면접 – 최종 합격 (모든 인터뷰는 비대면으로 진행됩니다) 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률 』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

Staff Machine Learning Engineer, Search & Discovery

On-sitefull timeLead / StaffMountain View, United States
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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 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 The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you. What You Will do Design features and build large-scale machine learning models and systems to improve relevance, ranking, personalization and engagement Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 4 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master’s or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays 6 weeks Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. 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. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com . Job Req: R0073340

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AI / ML & Data ScienceVia Greenhouse
Verified8 days ago

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