반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

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

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
2. 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.
3. 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.
4. 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.
5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

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

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
2. 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.
3. 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.
4. 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.
5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

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  

You will provide legal support across various international legal initiatives, including Coupang Intelligent Cloud, Coupang’s AI cloud computing service, in an extremely fast-paced, dynamic and constantly challenging environment. We are looking for passionate builders who can provide actionable legal advice under urgent deadlines and project manage various teams to implement creative solutions and achieve results.  

What You Will Do

• Technology and commercial transactions: Lead and execute on a variety of country-specific, regional, and global technology and commercial transactions, including drafting, reviewing, and negotiating complex technology and commercial contracts in English and Korean. You will be hands-on with end-to-end responsibility for legal support and will be required to work in partnership with our Procurement, Engineering, Security, Compliance and other teams. 
• Advisory: You will be a legal problem solver, providing practical, business-oriented legal advice on a broad range of legal issues related to cloud services and AI development, including commercial, regulatory, and policy matters. You will lead and execute as an all-around legal strategy on both day-to-day and long-term legal goals, including support for product and services development, commercial arrangements, contracts, terms of use, privacy matters, intellectual property and licensing, open-source software, information security and the interpretation of contractual terms and rights and obligations.  
• Third party legal risk management: Contribute to developing and implementing third-party legal risk management frameworks to set the standards for third party contracting with vendors across Coupang. This will include: (1) developing policies and procedures for minimum vendor contract standards and requirements, (2) setting legal risk assessment, review, and approval requirements for vendor contracts, (3) being a central point of contact to oversee and monitor compliance with the third-party legal risk management framework, and (4) building awareness across legal, corporate support, and business teams to improve contract standards and risk assessment and management of vendor relationships across Coupang. 
• Collaboration: You will work closely with internal business leaders and Procurement, Engineering, Security, Privacy, and Compliance stakeholders located in Korea and the U.S. You will exemplify strong individual ownership and deft project management, with the ability to appropriately prioritize matters under strict deadlines and with minimal oversight.      

Basic Qualifications

• Qualified lawyer in the U.S., Korea or common law jurisdiction (e.g., England, Australia, Singapore) with 6+ years post-qualification legal experience, both in-house and private practice. 
• Experience negotiating commercial agreements across supply chain, enterprise hardware and software, data center and cloud services, professional services and other critical supplier relationships. 
• Experience providing legal support for tech product development (AI/IT).  
• Familiarity with AI and LLM-related legal and contracting issues, including data use and training restrictions, IP rights, and risk allocation. 
• Demonstrable interest in diving deep to learn new technologies.  
• Bilingual Korean/English language ability with full professional fluency in English.   
• Strong and effective communication skills, both oral and written. 

Preferred Qualifications

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.  
• 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. 
• This is a contract 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/  

Document Return Policy 

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.  
2. 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.  
3. 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.  
4. 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.  
5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. 

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

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  

You will provide legal support across various international legal initiatives, including Coupang Intelligent Cloud, Coupang’s AI cloud computing service, in an extremely fast-paced, dynamic and constantly challenging environment. We are looking for passionate builders who can provide actionable legal advice under urgent deadlines and project manage various teams to implement creative solutions and achieve results.  

What You Will Do

• Technology and commercial transactions: Lead and execute on a variety of country-specific, regional, and global technology and commercial transactions, including drafting, reviewing, and negotiating complex technology and commercial contracts in English and Korean. You will be hands-on with end-to-end responsibility for legal support and will be required to work in partnership with our Procurement, Engineering, Security, Compliance and other teams.
• Advisory: You will be a legal problem solver, providing practical, business-oriented legal advice on a broad range of legal issues related to cloud services and AI development, including commercial, regulatory, and policy matters. You will lead and execute as an all-around legal strategy on both day-to-day and long-term legal goals, including support for product and services development, commercial arrangements, contracts, terms of use, privacy matters, intellectual property and licensing, open-source software, information security and the interpretation of contractual terms and rights and obligations. 
• Third party legal risk management: Contribute to developing and implementing third-party legal risk management frameworks to set the standards for third party contracting with vendors across Coupang. This will include: (1) developing policies and procedures for minimum vendor contract standards and requirements, (2) setting legal risk assessment, review, and approval requirements for vendor contracts, (3) being a central point of contact to oversee and monitor compliance with the third-party legal risk management framework, and (4) building awareness across legal, corporate support, and business teams to improve contract standards and risk assessment and management of vendor relationships across Coupang.
• Collaboration: You will work closely with internal business leaders and Procurement, Engineering, Security, Privacy, and Compliance stakeholders located in Korea and the U.S. You will exemplify strong individual ownership and deft project management, with the ability to appropriately prioritize matters under strict deadlines and with minimal oversight.     

   

Basic Qualifications

• Qualified lawyer in the U.S., Korea or common law jurisdiction (e.g., England, Australia, Singapore) with 6+ years post-qualification legal experience, both in-house and private practice. 
• Experience negotiating commercial agreements across supply chain, enterprise hardware and software, data center and cloud services, professional services and other critical supplier relationships. 
• Experience providing legal support for tech product development (AI/IT).  
• Familiarity with AI and LLM-related legal and contracting issues, including data use and training restrictions, IP rights, and risk allocation. 
• Demonstrable interest in diving deep to learn new technologies.  
• Bilingual Korean/English language ability with full professional fluency in English.   
• Strong and effective communication skills, both oral and written. 

Preferred Qualifications

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.  
• 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. 
• This is a contract 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/  

Document Return Policy 

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.  
2. 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.  
3. 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.  
4. 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.  
5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable. 

About the role

We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. 

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

What You Will Do

• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

Basic Qualification

• 2+ years of software development experiences in Machine Learning, Deep Learning related areas
• Fluent with one or more programming languages including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications including natural language processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.

Preferred Qualifications 

(We truly encourage you to apply even if you don’t have these)

• MS or Ph.D. degree in Computer Science or related technical field

About the role

We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. 

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers, as seen here (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

What You Will Do

• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

Basic Qualifications

• MS or Ph.D. degree in Computer Science or related technical field
• 7+ years of software development experience in Machine Learning, Deep Learning related areas
• Fluent with one or more programming languages including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.
• Fluent in speaking and writing English.

Preferred Qualifications 

• Relevant experience in AdTech

About the role

We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. 

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

What You Will Do

• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

Basic Qualification

• MS or Ph.D. degree in Computer Science or related technical field
• 4+ years of software development experience in Machine Learning, Deep Learning related areas
• Fluent with one or more programming languages including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.
• Fluent in speaking and writing English.

Preferred Qualifications 

(We truly encourage you to apply even if you don’t have these)

• MS or Ph.D. degree in Computer Science or related technical field

해당 포지션에 전문연구요원에 관심 있는 인재 분들을 위한 상시오픈 포지션입니다. 이력서를 등록해 주시면 몰로코 인재풀에 자동 등록되며, 새로운 채용 기회가 발생 시에 풀에 계신 분들이 최우선적으로 검토될 것입니다.

Expression of Interest: We are always interested in hearing from talented professionals thinking about their next move or looking for a new opportunity to join our expanding talent pool.

Interested? Start your journey with Moloco by submitting your resume for future consideration. If this position becomes available, we will contact you first.

About the role

We seek exceptional machine learning engineers to join us in building a state-of-the-art machine learning system. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. 

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

What You Will Do

• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

Basic Qualification

• MS or Ph.D. degree in Computer Science or related technical field
• Software development experiences in Machine Learning, Deep Learning related areas
• Fluent with one or more programming languages including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications including natural language processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.

Summary

Gruve의 Lead AI Engineer는 기업용 AI 솔루션의 제안(Pre-sales)부터 실제 구축(Delivery)까지의 전 과정을 진두지휘하는 핵심 리더입니다.

기술적 깊이는 물론, 비즈니스 관점에서 고객의 문제를 정의하고 팀을 이끌어 솔루션을 성공적으로 안착시킬 수 있는 분을 모십니다. 컨설팅 및 SI 환경에서 고성능 엔지니어링 팀을 리드해 본 경험이 있는 분이라면 Gruve의 AI 전환(AX) 여정에 큰 힘이 될 것입니다.

주요 업무

• 팀 리딩 및 성장: AI/ML 엔지니어 팀을 구성하고, 개개인의 기술적 역량 강화와 성과 관리를 책임집니다.

• 기술 제안 및 설계: 세일즈 팀과 협력하여 고객사의 요구사항을 분석하고, 최적의 AI 아키텍처 제안 및 기술 데모를 주도합니다.

• 엔드 투 엔드(End-to-End) 딜리버리: 솔루션의 설계부터 실제 배포, 안정화까지 전체 프로젝트 생애 주기를 관리하며 품질과 확장성을 보장합니다.

• 기술 자문: 엔터프라이즈 고객의 신뢰받는 기술 파트너로서, 프로젝트 전 과정에서 전문적인 인사이트를 제공합니다.

• 엔지니어링 표준 수립: MLOps 도입, 시스템 아키텍처 고도화 등 팀 내 엔지니어링 모범 사례(Best Practice)를 정의하고 전파합니다.

자격 요건

• 5년 이상의 소프트웨어 엔지니어링 경력 (AI/ML 관련 프로젝트 경험 필수)

• 피플 매니징 경험: 팀 빌딩, 채용, 성과 관리 등 팀 리더로서의 실질적인 경험이 있으신 분

• 기술 제안(Pre-sales) 경험: 고객 대상 솔루션 제안 및 기술 프리젠테이션이 가능하신 분

• AI/ML 도메인 지식: NLP, LLM, 데이터 플랫폼 등 최신 AI 기술에 대한 깊은 이해도를 보유하신 분

• 영어 커뮤니케이션: 글로벌 팀 및 고객사와 원활한 비즈니스 소통(메일, 회의)이 가능하신 분

우대 사항 (Preferred Qualifications)

• IT 컨설팅, 전문 서비스(Professional Services), 또는 SI 환경에서의 근무 경험

• MLOps 구축, 클라우드 플랫폼(AWS/GCP/Azure), Kubernetes 기반 대규모 배포 경험

• 엔터프라이즈급 AI 전환(AX) 프로젝트 또는 대규모 AI 솔루션 도입 완수 경험

• 생성형 AI(GenAI) 및 LLM 기반 애플리케이션 아키텍처 설계 경험

• 글로벌 협업 환경 또는 다국적 팀 매니징 경험

• Lead and manage a team of AI/ML engineers, including hiring, coaching, and performance management
• Drive both pre-sales and delivery activities, including solution design, client presentations, and project execution
• Partner with sales and pre-sales teams to shape AI opportunities and develop technical proposals
• Own end-to-end delivery of AI/ML solutions, ensuring quality, scalability, and client satisfaction
• Act as a trusted technical advisor to enterprise clients throughout the engagement lifecycle
• Define and enforce best practices in AI engineering, MLOps, and system architecture
• Provide hands-on technical guidance when needed, especially in complex solutioning scenarios
• Manage project timelines, resources, risks, and stakeholder communication
• Collaborate with global teams to align on strategy and execution

• 5+ years of experience in software engineering, with strong exposure to AI/ML
• Proven experience as a people manager (team leadership, hiring, performance management)
• Demonstrated experience in both pre-sales and delivery roles
• Strong understanding of AI/ML technologies (e.g., NLP, LLMs, data platforms)
• Experience designing and delivering scalable, production-grade systems
• Excellent communication skills in English (verbal and written)
• Ability to operate effectively in client-facing, fast-paced environments

• Experience in professional services, consulting, or SI environments
• Hands-on experience with MLOps, cloud platforms (AWS, GCP, Azure), and Kubernetes
• Experience supporting enterprise-level AI transformations or large-scale deployments
• Familiarity with GenAI / LLM-based applications and architectures
• Experience working in global or cross-regional teams

Coupang is reimagining the commerce 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. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd 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.
• 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.

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

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.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - 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.
• 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.

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.

About Coupang

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.

Team Overview

Coupang Eats is offering both food delivery and quick-commerce solutions to Korean customers. Additionally the food delivery experience is also available in the Japanese market. Within this space, the team is responsible for the search funnel for these 3 verticals. This encompasses all the different layers of search (retrieval, relevance, query understanding, ranking, etc.).

Search is a fast-growing area, and we are working to improve the quality of search to ensure that customers find the best dish, store or item for them. We use the state-of-the-art Machine Learning and Deep Learning technologies to ensure the best quality of search, and we are continuously innovating and building highly scalable systems to support the growing business and customer engagement.

Role Overview

As a Sr. Staff Machine Learning Engineer for Search, you will be responsible for the design, development, maintenance, and improvement of the end-to-end search quality and systems. Since the scope ranges across all the search layers (retrieval, relevance query understanding, intent expression, ranking, etc.) there are a wide range of customer problems to resolve. This will  require designing and maintaining multiple foundational models. You will run experiments to validate in a controlled environment and launch any features and ranking improvements that would improve the customer experience.

Key Responsibilities

• Tech Leader for the Coupang Eats Search system, the most important funnel for customer to discover the food they need
• Operate across two different business verticals across two different markets
• Develop new Machine Learning models to improve the end-to-end search quality
• Build the foundational LLM models powering the search system
• Improve the search quality through experimentation

Qualifications

• Experience working with large-scale, complex datasets to extract robust features and create reliable machine learning models
• Track record of diving into data to discover hidden patterns and solving problems with data science
• Fast paced self-learner with proven record of launching successful features and improving business metrics
• Tech lead working with coworkers across teams to solve critical customer problems
• Strong communication skills and full proficiency in English or Korea

Preferred Qualifications

• Master’s or Ph.D. degree in Computer Science, Mathematics or related science majors
• Industrial experience leveraging and tuning LLM for search quality improvement
• Industrial experience working with online serving system working at scale
• Excellent communicator with great listening skills, growth mindset and can-do attitude
• Strong communication skills and full proficiency in English and Korea

Recruitment Process 

• Application Review - 1st Interview (Virtual) - 2nd Interview (Virtual) - 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.

Coupang is reimagining the commerce 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. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd 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.
• 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.

About Coupang

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.

Job description:

We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems.

Key responsibilities:

Lead the Full Cycle from Idea to Production-Ready Insight: 

1. Ideate & Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models, and excess inventory flagging rules.
2. Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'.
3. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems.

Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them.

Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives.

Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis.

Qualifications: 

• 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
• Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles.
• Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus.

Core Technical Proficiencies:

• Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive datasets across our primary data platforms, including our data warehouse (Redshift) and data lake (Hive).
• Data Scripting & Automation: You have high proficiency in a scripting language for complex analysis and automation. You are an expert in either Python (with its data ecosystem like pandas, NumPy) or R.
• Dashboarding & Visualization: You have deep, hands-on experience creating insightful and actionable dashboards. You are an expert in at least one of our primary BI tools — Tableau, Power BI, or Apache Superset — and are comfortable navigating the others.
• Analysis as Code (GitHub): You treat analysis as code. Proficiency with Git and GitHub is essential for versioning your queries and scripts and collaborating with the team.
• Generative AI as a Force Multiplier: You are a pragmatic user of Generative AI (e.g., Windsurf, Gemini) to accelerate your workflow—from writing code and debugging issues to managing projects and summarizing findings.

Key Competencies:

• Pragmatic Problem-Solver: You have a knack for creating simple, effective solutions to complex problems and understand when a smart heuristic is better than a perfect but slow model.
• Master Communicator: You can simplify complexity, persuade stakeholders with data-driven narratives, and create clear, concise documentation for your work.
• Sustainable Code Practices: You write clean, modular, and reusable code in both SQL and your chosen scripting language. Your work is easy for others to understand, trust, and build upon.

Recruitment Process

• Application Review - Phone Interview - 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 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.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

About Coupang

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.

Team Overview

Coupang Eats is offering both food delivery and quick-commerce solutions to Korean customers. Additionally the food delivery experience is also available in the Japanese market. Within this space, the team is responsible for the search funnel for these 3 verticals. This encompasses all the different layers of search (retrieval, relevance, query understanding, ranking, etc.).

Search is a fast-growing area, and we are working to improve the quality of search to ensure that customers find the best dish, store or item for them. We use the state-of-the-art Machine Learning and Deep Learning technologies to ensure the best quality of search, and we are continuously innovating and building highly scalable systems to support the growing business and customer engagement.

Role Overview

As a Staff Machine Learning Engineer for Search, you will be responsible for the design, development, maintenance, and improvement of the end-to-end search quality and systems. Since the scope ranges across all the search layers (retrieval, relevance query understanding, intent expression, ranking, etc.) there are a wide range of customer problems to resolve. This will  require designing and maintaining multiple foundational models. You will run experiments to validate in a controlled environment and launch any features and ranking improvements that would improve the customer experience.

Key Responsibilities

• Tech Leader for the Coupang Eats Search system, the most important funnel for customer to discover the food they need
• Operate across two different business verticals across two different markets
• Develop new Machine Learning models to improve the end-to-end search quality
• Build the foundational LLM models powering the search system
• Improve the search quality through experimentation

Qualifications

• Experience working with large-scale, complex datasets to extract robust features and create reliable machine learning models
• Track record of diving into data to discover hidden patterns and solving problems with data science
• Fast paced self-learner with proven record of launching successful features and improving business metrics
• Tech lead working with coworkers across teams to solve critical customer problems
• Strong communication skills and full proficiency in English or Korea

Preferred Qualifications

• Master’s or Ph.D. degree in Computer Science, Mathematics or related science majors
• Industrial experience leveraging and tuning LLM for search quality improvement
• Industrial experience working with online serving system working at scale
• Excellent communicator with great listening skills, growth mindset and can-do attitude
• Strong communication skills and full proficiency in English and Korea

Recruitment Process 

• Application Review - 1st Interview (Virtual) - 2nd Interview (Virtual) - 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.

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

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.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - SQL Live Coding 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.
• 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.

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.

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 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.

About the Team

Our eCommerce Engineering group aims to reshape our customer’s shopping experience, ultimately making them say, “How did I ever live without Coupang”. Created by strong engineering team from different skillsets out of global talents, eCommerce Engineering is evolving at an unparalleled pace to become the world class eCommerce Platform in the markets we serve.

eCommerce Engineering is responsible for Coupang core eCommerce services, as well as new emerging business services Coupang constantly invest to wow our customers, like Coupang Eats, Coupang Fresh...etc. Our vision is to build the world class eCommerce Platform by obsessing over reliable and effortlessly shopping experiences, through a highly productive engineering team. Our core values are Customer Focus, Ownership and Collaborative.

Job Overview

In this role, you will be the main driving force behind one of the biggest tech organizations in Coupang – eCommerce Engineering. eCommerce Engineering covers the businesses in Coupang, Coupang Eats, and other confidential business. Define, iterate and improve operation excellence in large organization.

• Drive Coupang’s strategic projects and technical initiatives across the company, directly or indirectly impacts millions of customers’ life.
• End-to-end responsibility: from diagnostic and strategy development to execution and accountability for quarterly and annual goals.
• High exposure to various tech and business leaders depending on the focus project.

Key Responsibilities

• Develop new tools and process to support the strategic direction of the organization.
• Create and manage long-term goals of the organization.
• Ensure goals are met in areas including customer satisfaction, safety, quality, and team member performance.
• Prioritize programs and activities in accordance with the mission and goals of the organization.
• Act as an internal accelerator across multiple organization to help implementation of new tools and processes.
• Work with internal stakeholders (tech, finance, legal, marketing teams) to drive scalable solutions and resolutions.
• Identify systems needs and/or define process to improve efficiency and enable scalability.
• Define metrics to measure the efficacy of internal resources and lead teams to improve metrics by making modification to current processes.
• Use data to inform system needs and prioritize system requirements.

Qualifications

• 10+ years of strategic or/and business development experience.
• Experience in challenging problem solving, deep diving into an issue, identifying root-causes and suggesting realistic solutions.
• Experience synthesizing information quickly, distilling key takeaways, and presenting insights to senior leadership.
• Experience working with large sets of structured and unstructured data and synthesizing into business insights.
• High standards and a bias toward action.
• Expert communication and interpersonal skills, must be able to run meetings and work streams with senior leadership across the company.
• Ability to meet tight deadlines, prioritize workload and achieve effective results in fast-paced and dynamic environment; effective multi-tasking skills are vital.
• Leadership experience.
• Excellent skills in Microsoft Excel and PowerPoint.
• BA / BS degree.

Preferred Qualifications

• Solid Technical Program Management at Scale: Proven ability to lead large, complex software programs with full ownership across strategy, execution, and delivery. Strong operational rigor with clear goal-setting, roadmapping, and feedback mechanisms.
• Software-Oriented Execution & Engineering Partnership: Deep experience working with software engineering leaders, understanding system architecture, and driving technically grounded decisions. Able to speak the language of engineers and lead initiatives involving non-functional requirements and platform-level changes.
• Analytical Depth: Sharp with metrics, able to deep dive into data to identify gaps, prioritize effectively, and move with urgency in dynamic environments.

Recruitment Process and Others

1. Recruitment Process: Application Review - Phone Interview - Onsite Interview - Offer (The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.)
2. Others:

• This job post may be closed early if all openings are filled.
• If there is any false information in the application, the offer may be cancelled.
• Veteran status or disability will not result in any disadvantages in the recruitment process.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://rocketyourcareer.kr.coupang.com/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 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.

The AI agent space is moving fast. Most companies are still figuring out what to build. We already know, and we need someone to help us build it.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Applied AI Engineer

The next wave of AI isn't chatbots answering FAQs. It's agents that reason, remember, and act, proactively and accurately, at scale. That's what we're building, and we need someone who can build the backend brain behind it.

This is where research meets production. You'll take the latest advances in LLMs, RAG, and agentic systems and turn them into features that enterprise customers depend on every day. Not demos. Deployed, scaled, real. You'll also be expected to use AI tooling aggressively in your own workflow, automating pipelines, wiring together APIs, and building with agentic CLIs so your output compounds beyond what any single engineer could ship alone.

The Role

You'll design and build the core intelligence layer of our AI agents: retrieval systems, tool-calling pipelines, voice integrations, and agentic reasoning capabilities. You'll also be expected to use AI-native development tools and automation to accelerate your own work and the team around you. The right person thrives at the intersection of applied research, production engineering, and building with AI.

You might be this person if:

• You read AI research papers and your first instinct is to run an experiment, not write a summary.
• You've shipped LLM-powered features to production and you know exactly what separates a reliable system from a promising prototype.
• You obsess over latency, accuracy, and failure modes. "Kind of works" isn't in your vocabulary.
• You use agentic CLIs like Claude Code to move fast, and you wire APIs, automation platforms, or custom scripts together to eliminate repetitive work for yourself and your teammates.
• You get uncomfortable when prompt engineering is the only lever being pulled. You want to go deeper.
• You can evaluate a voice AI vendor on quality, cost, and real-world performance without needing a framework to tell you how.
• You communicate technical tradeoffs clearly enough that product managers and engineers can make real decisions.

You need to have:

• 5 or more years of professional experience in machine learning, data science, or applied AI engineering.
• Hands-on experience with AI agent frameworks such as LangChain or LlamaIndex, tool use, or advanced prompt engineering.
• Working knowledge of voice AI technologies, including Speech-to-Text and Text-to-Speech, with the ability to evaluate solutions across quality, latency, and cost.
• Fluency in Python with a track record of building and deploying production-grade services.

What you'll actually do:

• Design and optimize the full backend pipeline for our AI agents, including advanced RAG systems, function-calling tools, and core agentic capabilities.
• Lead the integration and evaluation of voice AI solutions, third-party APIs, self-hosted models, and fine-tuned alternatives, with a hard focus on latency and quality.
• Prototype and implement new agent methodologies drawn from the latest LLM and agentic research, moving from experiment to production when results warrant it.
• Build and automate scalable Python services using agentic development tools, accelerating your output and reducing manual overhead across the full development lifecycle.
• Connect tools, APIs, and automation platforms to build internal pipelines that save time for the broader engineering team, not just yourself.
• Partner with product managers and engineers to translate complex requirements into shippable features without losing technical integrity.
• Embed AI agent capabilities directly into the Sendbird platform, ensuring the experience is coherent and powerful from the customer's point of view.

Added Value:

• Experience building natural language processing products.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Bilingual in Korean and English.

Our KR benefits include (but are not limited to)

• Silicon Valley's equity program (1-year cliff) 
• Hybrid work policy, flexible work hours
• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Weekly team lunch cost
• Monthly team-building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Support for the latest work devices, such as MacBook Pro (special support options for each job position)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences
  

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

About Sendbird

Combining omnichannel AI and battle-tested, award-winning communication APIs, Sendbird enables businesses to build AI agents and meaningful customer connections at scale. Trusted by 4,000+ leading apps—including DoorDash, Match Group, Noom, and Yahoo Sports—Sendbird powers over 7 billion conversations every month, offering exceptional reliability, security, and compliance that meet enterprise-level demands. Headquartered in California, Sendbird is backed by ICONIQ, SoftBank, Tiger Global, Y Combinator, and other reputable investors.

Why Sendbird

We spent a decade building the conversation infrastructure that the world runs on. Now we're putting intelligence on top of it. You won't be joining a company still figuring out its AI strategy. You'll be joining one that has already made the bet, shipped the product, and is moving fast to lead the category. If you want to build something that matters, with a team that knows how, this is it.