ML Engineer Jobs in Seoul.

Coupang Ads Tech Seoul Posted May 7, 2026

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

This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

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.

Ready to apply?

CO

Coupang Internal

View all jobs →

Staff Machine Learning Engineer (Ads Relevance)

Coupang · Seoul, South Korea

Coupang Ads Tech Seoul Posted May 7, 2026

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

Coupang Ads is responsible for providing vendors that sell their products on Coupang with a host of marketing products and services. We launched the Product Ads performance advertising marketplace in late 2018.  We have grown rapidly into a multi-billion USD ads business over the past few years, and we continue to grow fast. Our org is responsible for advertising brands and products on our e-commerce platform, a crucial aspect of our business that rivals the success seen by giants like Alibaba and Amazon.

The Ads Relevance team, a key part of the Ads organization, is at the forefront of developing cutting-edge AI/ML models to deliver contextually relevant advertisements to Coupang's customers. Rather than chasing "the best" in a vacuum, our team pursues optimal and practical engineering. To achieve the highest possible relevance quality within given resources, we foster a collaborative environment where we study the latest literature, engage in deep discussions, and conduct diverse experiments together.

Our tech stack for achieving optimal relevance is broad and sophisticated, spanning the latest Large and Small Language Models (LLMs), two-tower embedding models (TTMs), and DNN models. We are constantly striving for technical excellence across these domains to push the boundaries of what's possible.

At Ads Relevance, we thrive on data-driven decision-making and experimentation. In an era of rapid AI evolution and the emergence of next-gen tools like coding agents, we embrace new challenges with agility. We foster a culture of horizontal collaboration and open idea-sharing to stay ahead in this fast-paced landscape. We are looking for passionate individuals who are eager to create better ad experiences and contribute to our innovative team.

Qualifications

Over 5 years of industry experience in software engineering, specializing in machine learning, language modeling, recommendation systems, and information retrieval.
Strong problem-solving skills through scientific approaches such as observation, hypothesis, experimentation, evaluation, and analysis.
Ability to quickly keep up with the latest research trends and apply them to production.
Ability to accelerate AI model development lifecycles by leveraging coding agents such as Claude Code and Devin.
Proficient in writing logical and technical documentation.
Ability to work effectively in multicultural, cross-functional teams.
Bachelor's degree in computer science, engineering, mathematics, physics, science, or equivalent.

Preferred Qualifications

Industry Experience in the advertising, recommendation systems, or search engine domains.
Master's or Ph.D. degree in computer science, engineering, mathematics, physics, science, or equivalent.

Recruitment Process and Others

Recruitment Process

Application Review - 1st Virtual Interview - 2nd Virtual Interview - Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
We are proud to offer equal opportunities for all applicants.
Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.
https://privacy.coupang.com/en/land/jobs/

Document Return Policy

This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Ready to apply?

Coupang

View all jobs →

Senior Staff, Back-end Engineer (Global Operations Technology)

Coupang · Seoul, South Korea

zz-Evergreen Requisition Seoul Posted May 7, 2026

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

The Global Operations Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Senior Staff Backend Engineer in GOT, you will leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

What You Will Do

Lead and drive architecture design of Fulfillment Technologies for scale, future extensibility, and reliability
Envision and drive alignment with stakeholders of the appropriate roadmap and future direction of technology for Global Operations Technology org.
Navigate and alleviate technical obstacles and blockers at the organizational level
Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and “move with urgency.”
Write code when necessary to lead by example and help with high-priority projects
Proactively identify opportunities in both business and technology
Review, advise, and carry out the adoption of new technology (both open-source and commercial) that are useful in achieving business objectives
Recruit and develop world-class engineering talent
Drive development of automation and robotics initiatives

Basic Qualifications

15+ years of experience in developing and operating backend services and web applications
Solid track record of delivering large and complex systems with significant business impact
Experience of designing and developing large-scale distributed systems and architectures
Broad and deep understanding of key technologies in storage, data processing, and serving
Capable of object-oriented design and development
Strong familiarity developing with Java and the Spring Framework
Service development and operational experience in an AWS environment
Experience driving improvements in code quality

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.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
https://privacy.coupang.com/en/land/jobs/

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.

Ready to apply?

Coupang

View all jobs →

Machine Learning Engineer Intern (3-month internship)

Moloco · Seoul, Korea

Ads Quality Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco:

We are seeking exceptional Machine Learning intern 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/

The Opportunity:

We are looking for interns who can contribute to one of two tracks within our ML team — ML Modeling or ML Infrastructure — based on your strengths and interest.
- ML Modeling: Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems, including model architecture design, feature engineering, and performance optimization.
- ML Infrastructure: Enhance the infrastructure that powers large-scale ML experimentation, training, and serving. This includes TPU/GPU-based model training, microservices for ML inference, scalable data pipelines (Spark / Apache Beam), and systems for ML data validation and monitoring.

How Do I Know if the Role is Right For Me?

Major in Computer Science, Statistics or related fields.
Strong mathematical skills in probability, statistics, and machine learning.
Strong algorithms and data structure skills.
Fluent with at least one programming language including Python, Java, and Golang.
Fluent in speaking and writing both Korean and English

This internship is targeted for this summer term or earlier. We will primarily consider candidates who have no more than two semesters remaining until graduation at the start date of the internship, as well as recent graduates.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Staff Machine Learning Engineer (스태프 머신러닝 엔지니어)

Moloco · Seoul, Korea

Ads Quality Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

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

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Staff Backend Software Engineer (스태프 백엔드 소프트웨어 엔지니어)

Moloco · Seoul, Korea

Ads Platform Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco:

Lead design, development, optimization, testing, and maintenance of software applications and solutions for internal and external end users.

The Opportunity:

Lead team members and projects on one of our product teams. Help scale our products(Moloco Ads, MCM, MSM) as we push for growth and scalability.

How Do I Know if the Role is Right For Me?

Minimum 15+ years of software engineering experience
Bachelor’s Degree or above in Computer Science or equivalent technical degree (Master's highly preferred)
Experience working with large-scale distributed systems
Experience mentoring and leading Senior, Mid, and Junior Engineers
System Design and development skills, from gathering requirements to design to implementation to production.
Mastery of multiple skills involved in developing large-scale systems, such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines.
Experience delivering projects with material impact, through leading project teams of 5+ engineers and collaborating within and across teams and roles (Product Management, SRE, Data Science, ML engineering, etc); or through autonomous ownership of unusually complex projects, from inception to productionisation.
Excellent verbal and written communication skills

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Software Engineer II - Ads Experience (소프트웨어 엔지니어 II)

Moloco · Seoul, Korea

Ads Platform Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the role

As a Software Engineer II on the Ads Experience (AdEx) team, you will build core features and services that power Moloco’s web-based campaign management portal (Moloco Cloud Portal, our Ads Manager UI). Your work will directly improve how advertisers create, manage, and understand their campaigns, helping them operate more efficiently and confidently on Moloco Ads.

What You Will Do

Design, implement, and operate backend services and APIs that support advertiser workflows, including campaign creation, configuration, health monitoring, and reporting, in the Moloco Cloud Portal.
Own well‑scoped features or components end‑to‑end: requirements review, design, implementation, testing, launch, and post‑launch improvements.
Collaborate closely with Product, UX, Data, and ML partners to turn user problems into simple, reliable product experiences in the Ads Manager UI and via APIs.
Contribute to analytics and reporting capabilities by integrating with data pipelines and building features such as overview pages, charts, filters, and basic alerting.
Improve the reliability, performance, and observability of services you own (e.g., metrics, logs, on‑call playbooks), and participate in incident response and root‑cause analysis.
Participate in design and code reviews, learning from senior engineers while raising the team's quality bar.

Basic Qualifications

BS/MS in Computer Science or a related technical field, or equivalent practical experience.
4+ years of software engineering experience in backend or full‑stack development.
Proficiency in at least one modern programming language such as Java, Go, Kotlin, C++, or Python.
Solid understanding of data structures, algorithms, and system design, with hands‑on experience building or maintaining web services / APIs.
Experience working with relational or NoSQL databases (e.g., BigQuery, Bigtable, MySQL, PostgreSQL).
Experience owning features or components end‑to‑end under guidance from more senior engineers.
Ability to collaborate effectively in a cross‑functional environment with Product, UX, Data, and ML partners.
Fluent verbal and written communication skills in English; ability to discuss designs, trade‑offs, and timelines with global stakeholders.

Preferred Qualifications

Experience building advertiser‑, operator‑, or analyst‑facing tools such as campaign managers, analytics dashboards, or internal operations tools.
Exposure to digital advertising / AdTech, especially concepts like campaign performance metrics, attribution, or billing.
Familiarity with cloud platforms and big‑data technologies (e.g., GCP, BigQuery, Dataflow, Kafka, Beam/Spark).
Experience working with or alongside Product/Eng teams and incorporating user feedback into product improvements.
Interest in UX for data‑heavy products and in learning how to present complex information in a clear, actionable way.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Senior Machine Learning Engineer (시니어 머신러닝 엔지니어)

Moloco · Seoul, Korea

Ads Quality Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

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

Relevant experience in AdTech

(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

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Machine Learning Engineer (머신러닝 엔지니어-전문연구요원)

Moloco · Seoul, Korea

Ads Quality Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

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.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Machine Learning Engineer II (머신러닝 엔지니어 II)

Moloco · Seoul, Korea

Ads Quality Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

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

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Expression of Interest(채용관심등록): Software Engineer - Korea

Moloco · Seoul, Korea

Engineering Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

채용 관심 등록 / Expression of Interest:

We're always looking to connect with exceptional Software Engineers interested in joining Moloco's R&D team in Seoul. This posting allows you to share your profile for future opportunities, even if there isn't a currently open role aligned with your experience. Whether you specialize in backend systems, frontend development, or full-stack engineering, we encourage you to submit your resume — we'd love to stay in touch.

Moloco 서울 R&D 팀에 합류하고 싶은 뛰어난 소프트웨어 엔지니어를 항상 찾고 있습니다. 현재 공개된 포지션이 없더라도, 이 등록 페이지를 통해 먼저 이력서를 제출해 주시면 향후 적합한 기회가 생겼을 때 연락드리겠습니다. 백엔드 시스템, 프론트엔드 개발, 혹은 풀스택 엔지니어링 등 전문 분야와 무관하게 지원을 환영합니다.

Experience:

4–15 years of software development experience across backend, frontend, or full-stack systems, with a track record of leading complex, large-scale projects as seniority grows
Bachelor's degree or above in Computer Science or equivalent
Strong problem-solving skills with solid fundamentals in data structures and algorithms
Experience designing and implementing scalable systems — whether server-side APIs and infrastructure, or user-facing web and mobile interfaces
Experience with large-scale distributed systems, high-throughput data pipelines, or performance-critical frontend applications
Hands-on experience with public cloud platforms such as GCP, AWS, or Azure
Proficiency working with AI coding tools as a force multiplier — you plan before prompting, provide architectural context, review generated code critically, and know when to write code yourself versus when AI adds genuine value
Fluency in both Korean and English (spoken and written)

Our Tech Stack:

Backend: Go, Java, Python · GCP / AWS · Kubernetes · BigQuery · Dataflow / Apache Beam · Kafka · gRPC / REST APIs
Frontend: TypeScript / JavaScript · React · Web performance optimization · Mobile web

How You Work:

Your ethos is ownership

You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.

You demonstrate strong judgment under uncertainty.

You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.

You lead through clarity and active listening.

You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions.
You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.

You collaborate early, instead of solving in isolation.

You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope.
You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.

You fall in love with the problem, not the solution

You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem.
When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.

You prioritize customer impact and take action to make it real.

You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook.
You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Senior Software Engineer - Ads Experience (시니어 소프트웨어 엔지니어)

Moloco · Seoul, Korea

Ads Platform Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the role

As a Senior Software Engineer on the Ads Experience (AdEx) team, you will lead the design and delivery of key advertiser and operator workflows in Moloco’s web-based campaign management portal (Moloco Cloud Portal, our Ads Manager UI). You will shape how advertisers configure, monitor, and troubleshoot campaigns at scale, driving both user satisfaction and business impact.

The Opportunity

Lead the end‑to‑end design and implementation of complex advertiser workflows and services in Moloco Cloud Portal, from problem framing and technical design to launch and post‑launch iteration.
Act as technical lead for medium‑ to large‑scale projects, breaking down ambiguous problems into clear milestones and aligning engineers and cross‑functional partners.
Architect and evolve backend services and APIs that support campaign setup, health monitoring, reporting, alerting, and diagnostics for advertisers and internal operators.
Partner with Product, UX, Data, and ML to define the operational and reporting experience strategy in the Ads Manager UI, ensuring our experiences are coherent, scalable, and easy to operate.
Collaborate with data and infra teams to design reliable analytics and reporting pipelines, including data contracts, SLIs/SLOs, and mechanisms for data correctness and latency.
Raise the engineering bar by driving best practices in code quality, testing, observability, reliability, and incident response across the AdEx team.
Mentor and guide junior engineers, providing technical feedback, sharing context, and helping them grow in system design and execution.
Influence longer‑term technical direction for Ads Experience, identifying platform opportunities and technical investments that unlock future product capabilities.

Basic Qualifications

BS/MS in Computer Science or a related technical field, or equivalent practical experience.
8+ years of software engineering experience, including significant backend or platform work on user‑facing products.
Proficiency in one or more modern programming languages such as Java, Go, Kotlin, C++, or Python, and experience building large‑scale distributed systems or high‑throughput services.
Strong system design skills, with a track record of leading the design and implementation of complex features or services across multiple components or teams.
Deep experience designing and operating web services / APIs and working with relational or NoSQL databases (e.g., BigQuery, Bigtable, MySQL, PostgreSQL).
Proven experience acting as a project tech lead: breaking down ambiguous problems, aligning stakeholders, and delivering projects on time with high quality.
Demonstrated ability to work effectively with Product, UX, Data, and ML partners, influencing product scope and technical trade‑offs.
Fluent in English, capable of driving technical discussions and decisions with global, cross‑functional stakeholders.

Preferred Qualifications

Extensive experience with advertiser- or operator-facing systems such as campaign managers, reporting/analytics dashboards, troubleshooting/alerting tools, or billing/capacity management systems.
Deep understanding of digital advertising / AdTech, including campaign performance metrics, attribution models, reporting dimensions, and advertiser needs.
Experience designing analytics and reporting architectures (data contracts, schemas, SLIs/SLOs, backfill strategies, latency vs. cost trade‑offs).
Hands‑on experience with cloud and big‑data technologies (e.g., GCP, BigQuery, Dataflow, Kafka, Beam/Spark) and integrating them into user‑facing products.
Experience driving engineering-wide improvements in reliability, observability, testing, or developer productivity in a production environment.
Strong track record of mentoring and growing engineers, and of positively influencing team culture and engineering practices.
Prior experience in global or multi‑region environments where advertiser needs and regulations differ by market is a plus.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Senior Software Engineer - Ads Creative (시니어 소프트웨어 엔지니어)

Moloco · Seoul, Korea

Ads Platform Seoul - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the role

As a Senior Software Engineer on the Ads Creative team, you will lead the systems that power how creatives are ingested, processed, and delivered across Moloco Ads. Your work will directly impact ad performance, experimentation velocity, and the quality of creative experiences for advertisers and end users on a global scale.

What You Will Do

Lead the design and implementation of core backend services and pipelines for creative ingestion (images, video, HTML, etc.), validation, transformation, rendering, and delivery.
Act as technical lead on medium‑ to large‑scale projects, breaking down ambiguous creative requirements into clear technical designs, milestones, and execution plans.
Architect and evolve services that manage creative metadata, versioning, policy/quality checks, and runtime selection, ensuring high availability and low latency for online ad serving.
Collaborate closely with Product, Design, Ads Infrastructure, and Machine Learning teams to define how creative assets are prepared, scored, and experimented on to maximize advertiser performance.
Build and improve tooling and services that support creative A/B testing, dynamic templates, and performance analytics, enabling rapid iteration on creative strategies.
Work with data and infra partners to design reliable creative data pipelines, ensuring that logging, feature generation, and reporting around creatives are correct, timely, and cost‑efficient.
Drive engineering best practices in testing, observability, reliability, and on‑call operations for creative systems, and proactively address tech debt that limits future innovation.
Mentor and support junior engineers, providing design guidance, review, and context that help them grow their skills and impact.

Basic Qualifications

BS/MS in Computer Science or a related technical field, or equivalent practical experience.
8+ years of software engineering experience, with significant backend or platform experience in production systems.
Proficiency in one or more modern programming languages such as Java, Go, Kotlin, C++, or Python, and experience building large‑scale distributed systems or high‑throughput services.
Strong system design skills, with a track record of owning and leading complex services or features end‑to‑end, across multiple components or teams.
Deep experience designing, building, and operating web services / APIs and working with relational or NoSQL databases (e.g., MySQL, PostgreSQL, Bigtable, BigQuery).
Proven experience acting as a technical lead: scoping projects, defining technical approaches, coordinating with other engineers, and delivering on time with high quality.
Demonstrated ability to collaborate with cross‑functional partners (Product, Design, Data, ML, Operations) and to influence product and technical decisions.
Fluent verbal and written communication skills in English, including the ability to explain complex technical topics to diverse audiences.

Preferred Qualifications

Experience building systems for creative or media processing pipelines, such as ingestion, validation, transformation, optimization, or content moderation.
Experience with real‑time ad serving or recommendation systems, especially where creatives or assets are selected dynamically at runtime.
Familiarity with digital advertising / AdTech, including how creative quality and variation impact performance, experimentation, and advertiser outcomes.
Hands‑on experience with cloud and big‑data technologies (e.g., GCP, BigQuery, Dataflow, Kafka, Beam/Spark) and integrating them into production services.
Experience designing experiment and measurement frameworks for creatives (e.g., A/B tests, multi‑armed bandits, creative scoring/selection policies) in partnership with ML teams.
Experience applying or integrating GenAI or automation for creative transformation, auto‑generation, QA, or classification is a strong plus.
Track record of mentoring engineers, improving team‑wide engineering practices, and contributing to a positive, inclusive team culture.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Ready to apply?

Moloco

View all jobs →

Lead AI Engineer

Gruve · Seoul, Seoul, South Korea

Data & AI Seoul Posted May 6, 2026

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

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

Summary

Gruve is seeking an experienced Engineering Manager to lead both pre-sales and delivery of AI solutions for enterprise clients. This role requires a strong combination of technical depth, people leadership, and client engagement experience, with the ability to support solutioning in pre-sales while ensuring successful execution during delivery.

The ideal candidate brings experience in professional services or consulting environments, strong communication skills in English, and a proven track record of managing high-performing engineering teams.

Responsibilities

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

Basic Qualifications

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

Preferred Qualifications

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

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Ready to apply?

Apply to Gruve

Gruve

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CO

[L7-1] Sr.Staff, Back-end Engineer (Fintech Product Engineering)

Coupang Internal · Seoul, South Korea

Coupang Pay Tech Seoul Posted Apr 28, 2026

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.

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection, and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year. We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.

We have been named as one of the ‘50 Smartest Companies in the World’ by MIT Technology Review, and as one of Forbes magazine’s ‘30 Global Game Changers.’ In 2020, we placed second on CNBC’s ‘Disruptor 50’ list.

Job Overview

Coupang Pay is transforming the digital payments experience at massive scale—powering millions of secure transactions every day across Coupang.com, Coupang Eats, and our ecosystem of merchants and partners. We are building fast, reliable, and innovative fintech solutions that serve both consumers and businesses across Korea and beyond.

We are seeking a Sr.Staff Software Engineer who is both a visionary technical leader and a hands-on builder. This role combines architectural ownership, full-stack development, and distributed systems expertise to deliver payment systems with industry-leading scale, resiliency, and speed.

Key Responsibilities

Hands-on Architecture & Development

Architect, design, and implement complex, distributed, cloud-native systems spanning frontend, backend, APIs, data pipelines, and infrastructure.

Write and review production-grade code; optimize critical paths for performance, reliability, and correctness.

Lead by example in code quality, observability, CI/CD, and security.

Operate at Scale & Speed

Deliver mission-critical features to millions of users with rapid iteration while maintaining high availability and data integrity.

Optimize systems for concurrency, throughput, and cost efficiency under heavy global loads.

Participate in on-call rotation and drive continuous improvements in reliability and incident prevention.

Full-Stack & Distributed Systems Leadership

Own large-scale payment microservices, event-driven pipelines, caching systems, and real-time APIs.

Guide teams across web/mobile frontends, middleware, and backend services to ensure cohesive and performant experiences.

Spearhead adoption of best practices in distributed computing, fault tolerance, and multi-region scaling.

Innovation & Emerging Technology

Drive adoption of AI/ML technologies—build or integrate AI agents and intelligent automations into payment workflows.

Stay ahead of fintech innovation, evaluating and deploying new technologies to improve customer experience and system resilience.

Leadership & Mentorship

Mentor senior engineers and Sr.Staff-level peers, fostering a culture of innovation, technical rigor, and rapid delivery.

Collaborate cross-functionally with product, design, and infrastructure leaders to shape both technical vision and product strategy.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related field.

12–15+ years of software engineering experience, with proven success in large-scale distributed systems.

Deep expertise in full-stack development (Java, Go, Python, JavaScript/TypeScript, or equivalent).

Hands-on architecture and design experience with microservices, event-driven systems, APIs, and real-time data processing.

Strong fundamentals in algorithms, data structures, concurrency, and system design.

Proven ability to deliver rapidly and reliably in fast-paced, high-growth environments.

Preferred Qualifications

Master’s or PhD in Computer Science or related technical discipline.

Payment systems experience at top global fintech companies (e.g., Stripe, PayPal, Razorpay, JusPay, AliPay, Visa, Adyen, Square, Mastercard).

Hands-on experience building and deploying AI Agents (GenAI, RAG, workflow automation, LLMs) into production-scale systems.

Deep knowledge of distributed microservices, cloud-native architectures (Kubernetes, containerization, serverless), and multi-region scaling.

Experience in dealing with and resolving the issues that occur when an organization grows in size and the systems get complicated

Publications, patents, or open-source contributions in distributed systems, payments, or AI applications.

Fluent English (Korean a plus); strong communication skills with global stakeholders.

Why Coupang Pay?

Shape the future of digital payments in one of the world’s fastest-growing e-commerce ecosystems.

Own mission-critical systems serving millions of customers at global scale.

Work in an inclusive, high-impact culture that values innovation, speed, and craftsmanship.

Competitive compensation, equity, benefits, and continuous learning opportunities.

Join us to build the core of next-generation fintech at scale.

Recruitment Process and Others

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

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.

Ready to apply?

CO

Coupang Internal

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CO

Sr. Staff Back-end Engineer (New Fintech Product Engineering)

Coupang Internal · Seoul, South Korea

Supernova Seoul Posted Apr 28, 2026

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.

Job Overview

Coupang Pay is transforming the digital payments experience at massive scale—powering millions of secure transactions every day across Coupang.com, Coupang Eats, and our ecosystem of merchants and partners. We are building fast, reliable, and innovative fintech solutions that serve both consumers and businesses across Korea and beyond. We are seeking a Sr. Staff Software Engineer who is both a visionary technical leader and a hands-on builder. This role combines architectural ownership, full-stack development, and distributed systems expertise to deliver payment systems with industry-leading scale, resiliency, and speed.

Key Responsibilities

Architect, design, and implement complex, distributed, cloud-native systems spanning frontend, backend, APIs, data pipelines, and infrastructure.
Write and review production-grade code while optimizing critical paths for performance, reliability, and correctness.
Lead by example in code quality, observability, CI/CD, and security standards across the organization.
Deliver mission-critical features to millions of users with rapid iteration while maintaining high availability and data integrity.
Optimize systems for concurrency, throughput, and cost efficiency under heavy global loads.
Participate in on-call rotation and drive continuous improvements in reliability and incident prevention.
Own large-scale payment microservices, event-driven pipelines, caching systems, and real-time APIs.
Guide teams across web/mobile frontends, middleware, and backend services to ensure cohesive and performant experiences.
Spearhead the adoption of best practices in distributed computing, fault tolerance, and multi-region scaling.
Drive the adoption of AI/ML technologies by building or integrating AI agents and intelligent automations into payment workflows.
Stay ahead of fintech innovation, evaluating and deploying new technologies to improve customer experience and system resilience.
Mentor senior engineers and Sr. Staff-level peers, fostering a culture of innovation, technical rigor, and rapid delivery.
Collaborate cross-functionally with product, design, and infrastructure leaders to shape both technical vision and product strategy.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
12–15+ years of software engineering experience with proven success in large-scale distributed systems.
Deep expertise in full-stack development using Java, Go, Python, JavaScript/TypeScript, or equivalent languages.
Hands-on architecture and design experience with microservices, event-driven systems, APIs, and real-time data processing.
Strong fundamentals in algorithms, data structures, concurrency, and system design.
Proven ability to deliver rapidly and reliably in fast-paced, high-growth environments.

Preferred Qualifications

Master’s or PhD in Computer Science or a related technical discipline.
Payment systems experience at top global fintech companies.
Hands-on experience building and deploying AI Agents, GenAI, RAG, workflow automation, or LLMs into production-scale systems.
Deep knowledge of cloud-native architectures including Kubernetes, containerization, serverless, and multi-region scaling.
Experience in resolving technical and structural issues that occur as an organization grows and systems become increasingly complex.
Publications, patents, or open-source contributions in distributed systems, payments, or AI applications.
Fluent English communication skills; proficiency in Korean is a plus.

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.

We are proud to offer equal opportunities for all applicants.

Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.

This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.
https://privacy.coupang.com/en/land/jobs/

Document Return Policy

This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

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.

Ready to apply?

CO

Coupang Internal

View all jobs →

CO

Staff, Back-end Engineer (Growth Engineering)

Coupang Internal · Seoul, South Korea

zz-Evergreen Requisition Seoul Posted Apr 28, 2026

Description

Please complete the attached the Internal Transfer Request Form and submit it.

Please make sure you are applying 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 at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview:

In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang's growth and marketing efficiency. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for user profile, landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others.

As a Staff Engineer within Coupang’s Growth Engineering team, you will be instrumental in architecting and developing a next-generation CRM platform. You will lead initiatives to ensure the platform delivers an end-to-end campaign management including Campaign Plan, Target Customer Selection, Promotion optimization, Product Selection, Creative Management, Landing Page Creation and Campaign Performance Measurement. Design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your expertise will directly contribute to advancing Coupang’s data-driven capabilities, aligning technical innovation with strategic business objectives.

Key Responsibilities:

Design, develop, and automate large-scale, high-performance streaming data processing systems to drive business growth and enhance product experience

Build scalable infrastructure and pipelines using best-in-class software engineering practices

Ensure the platform supports high availability, reliability, and low-latency.
Take full ownership end to end: from solution investigation/benchmark, development to operational health

Establish and execute short and long-term architectural roadmaps

Drive continuous improvement to the efficiency and flexibility of the data, platform, and services while maintaining a high bar for customer trust, performance, and availability

Collaborate with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions
Implement data quality and validation processes to ensure the accuracy and consistency of ingested data

Basic Qualifications:

10+ years of professional software development experience

5+ years of experience in data-related products with proficiency in Spark, Flink, Spring, and Java

Experience with open-source frameworks and technologies, like Spring, AWS, APIs, NoSQL, Big Data Technologies (Kafka, Hive, Cassandra, ClickHouse, Apache Flink, Apache Spark, or similar)

Excellent coding skills, with emphasis on data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis

Distributed systems experience is a must, should be skilled at designing, implementing, and maintaining systems at scale, and working on tradeoffs based on business demand

Taking ownership comes naturally to you and you thrive in an environment where priorities and requirements are not always clear

Comfortable working and learning in an agile, fast-paced environment

Bachelor’s degree in computer science or related field

Preferred Qualifications:

Experience taking a leading role in building complex software systems that have been successfully delivered to customers
Experience with internet-scale datasets and feature engineering (feature pipeline and feature store development)
Experience communicating with users, other technical teams and senior management to collect requirements, describe software product features, technical designs and product strategy
Experience influencing software engineering best practices
Hands-on expertise in many disparate technologies, ranging from front-end user interfaces through to back-end systems and all points in between
Experience working backwards from the customer and delivering innovative, simple solutions
Fluency in oral English

At Coupang, you will:

Work on a challenging and impactful project that directly influences Coupang's user acquisition and engagement strategies
Collaborate with a talented global team of engineers, data scientists, and product owners who are passionate about building innovative solutions

If you are a passionate engineer with the skills and experience to make a significant impact on Coupang's user understanding and personalization efforts, we encourage you to apply!

[Recruitment Process and Others]

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.

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://www.coupang.jobs/kr/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.

[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.

Ready to apply?

CO

Coupang Internal

View all jobs →

CO

Staff Machine Learning Engineer (Eats Search & Discovery)

Coupang Internal · Seoul, South Korea

Search and Discovery Seoul Posted Apr 28, 2026

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.

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

The team is responsible for the customers’ product discovery experience on Coupang and Coupang Eats, including search and recommendation quality, product ranking on category pages, and review ranking.
Search and Recommendation is a fast-growing area, and we are working to improve the quality of recommendations to ensure that customers find the best products for them. We are aiming to provide customers with a ‘wow’ shopping experience by offering them with the products they like even before they express their intent, which is one of the best discovery experiences in e-commerce. We use the state-of-the-art Machine Learning and Deep Learning technologies to ensure the best quality of recommendations, 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 and Recommendations, you will be responsible for the design, development, maintenance, and improvement of the end-to-end search and recommendation quality and systems. This encompasses our online recommendation ranking models/systems, multiple data pipelines that produce the candidates and features (offline and online) used across various ranking algorithms, a serving system that produces the recommendation result and product ranking result across the Coupang and Coupang Eats. You will need to collaborate closely with the global teams that share ownership of customers’ product discovery experiences in Coupang. 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

Strongly own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly.
Collaborate tightly with multiple global teams across the company to co-build a world class recommendation system
Mine vast amount of data to gain insights from customer behavior
Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms
Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models

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

Preferred Qualifications

Professional Korean proficiency
Master’s or Ph.D. degree in Computer Science, Mathematics or related science majors
Industrial experience working with online serving system working at scale
Write robust and efficient code using Java with unit and integration tests
Excellent communicator with great listening skills, growth mindset and can-do attitude

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.

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.

Ready to apply?

CO

Coupang Internal

View all jobs →

Sr.Staff, Back-end Engineer (Fintech Product Engineering)

Coupang · Seoul, South Korea

Coupang Pay Tech Seoul Posted Apr 28, 2026

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection, and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year. We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.

We have been named as one of the ‘50 Smartest Companies in the World’ by MIT Technology Review, and as one of Forbes magazine’s ‘30 Global Game Changers.’ In 2020, we placed second on CNBC’s ‘Disruptor 50’ list.

Job Overview

Coupang Pay is transforming the digital payments experience at massive scale—powering millions of secure transactions every day across Coupang.com, Coupang Eats, and our ecosystem of merchants and partners. We are building fast, reliable, and innovative fintech solutions that serve both consumers and businesses across Korea and beyond.

We are seeking a Sr.Staff Software Engineer who is both a visionary technical leader and a hands-on builder. This role combines architectural ownership, full-stack development, and distributed systems expertise to deliver payment systems with industry-leading scale, resiliency, and speed.

Key Responsibilities

Hands-on Architecture & Development

Architect, design, and implement complex, distributed, cloud-native systems spanning frontend, backend, APIs, data pipelines, and infrastructure.

Write and review production-grade code; optimize critical paths for performance, reliability, and correctness.

Lead by example in code quality, observability, CI/CD, and security.

Operate at Scale & Speed

Deliver mission-critical features to millions of users with rapid iteration while maintaining high availability and data integrity.

Optimize systems for concurrency, throughput, and cost efficiency under heavy global loads.

Participate in on-call rotation and drive continuous improvements in reliability and incident prevention.

Full-Stack & Distributed Systems Leadership

Own large-scale payment microservices, event-driven pipelines, caching systems, and real-time APIs.

Guide teams across web/mobile frontends, middleware, and backend services to ensure cohesive and performant experiences.

Spearhead adoption of best practices in distributed computing, fault tolerance, and multi-region scaling.

Innovation & Emerging Technology

Drive adoption of AI/ML technologies—build or integrate AI agents and intelligent automations into payment workflows.

Stay ahead of fintech innovation, evaluating and deploying new technologies to improve customer experience and system resilience.

Leadership & Mentorship

Mentor senior engineers and Sr.Staff-level peers, fostering a culture of innovation, technical rigor, and rapid delivery.

Collaborate cross-functionally with product, design, and infrastructure leaders to shape both technical vision and product strategy.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related field.

12–15+ years of software engineering experience, with proven success in large-scale distributed systems.

Deep expertise in full-stack development (Java, Go, Python, JavaScript/TypeScript, or equivalent).

Hands-on architecture and design experience with microservices, event-driven systems, APIs, and real-time data processing.

Strong fundamentals in algorithms, data structures, concurrency, and system design.

Proven ability to deliver rapidly and reliably in fast-paced, high-growth environments.

Preferred Qualifications

Master’s or PhD in Computer Science or related technical discipline.

Payment systems experience at top global fintech companies (e.g., Stripe, PayPal, Razorpay, JusPay, AliPay, Visa, Adyen, Square, Mastercard).

Hands-on experience building and deploying AI Agents (GenAI, RAG, workflow automation, LLMs) into production-scale systems.

Deep knowledge of distributed microservices, cloud-native architectures (Kubernetes, containerization, serverless), and multi-region scaling.

Experience in dealing with and resolving the issues that occur when an organization grows in size and the systems get complicated

Publications, patents, or open-source contributions in distributed systems, payments, or AI applications.

Fluent English (Korean a plus); strong communication skills with global stakeholders.

Why Coupang Pay?

Shape the future of digital payments in one of the world’s fastest-growing e-commerce ecosystems.

Own mission-critical systems serving millions of customers at global scale.

Work in an inclusive, high-impact culture that values innovation, speed, and craftsmanship.

Competitive compensation, equity, benefits, and continuous learning opportunities.

Join us to build the core of next-generation fintech at scale.

Recruitment Process and Others

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

We are proud to offer equal opportunities for all applicants.

Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.

This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.
https://privacy.coupang.com/en/land/jobs/

Document Return Policy

This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupangpay.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Ready to apply?

Coupang

View all jobs →

Staff Machine Learning Engineer (Eats Search & Discovery)

Coupang · Seoul, South Korea

Search and Discovery Seoul Posted Apr 28, 2026

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.

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.

Ready to apply?

Coupang

View all jobs →

Staff Machine Learning Engineer-Catalog Engineering

Coupang · z-Test & Templates Only

zz-Evergreen Requisition Seoul Posted Apr 28, 2026

English follows Korean.

회사 소개

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다.

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다.

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.

직무 소개

Catalog Engineering 팀은 쿠팡의 방대한 상품 카탈로그를 구조화하고 검증하며 고도화하는 핵심 AI/ML 플랫폼을 구축하는 조직입니다.

우리 팀이 만드는 시스템은 Search, Recommendation, Personalization, Ads 등 다양한 고객 경험을 뒷받침하는 카탈로그 품질의 근간이 됩니다.

대규모 머신러닝, 딥러닝, 데이터 처리, 지식 기반 시스템을 활용하여

쿠팡 카탈로그가 정확하고 일관되며 초대규모 환경에서도 안정적으로 운영될 수 있도록 합니다.

Catalog Engineering 팀은 고난도 ML 플랫폼 구축에 열정을 가진 스태프 레벨 엔지니어를 찾고 있습니다.

업무 내용

스태프 머신러닝 엔지니어로서 여러분은 다음을 담당합니다:

상품 분류, 속성 추론, 상품 정규화, 중복/유사 상품 처리 등 카탈로그 품질 개선을 위한 엔드투엔드 ML 시스템 설계 및 구축
수십억 건의 상품/속성 데이터를 기반으로 대규모 예측/생성 모델 개발 및 최적화
데이터 전처리, 피처 엔지니어링, 학습, 평가, 배포, 모니터링까지 이어지는 ML 파이프라인 아키텍처 설계 및 운영
딥러닝, 표현 학습, 벡터 모델링, 유사도 검색 등 최신 ML 기법 적용
Search, Recommendation, Product, Data, Platform 등 크로스 펑셔널 팀과 협업하여 ML 시스템을 핵심 워크플로우에 통합
A/B 테스트 및 오프라인/온라인 실험 설계를 통한 모델 효과 검증
모델 품질, 모니터링, 운영 안정성을 위한 ML 엔지니어링 베스트 프랙티스 수립 및 전파
모델링·파이프라인·시스템 설계 전반에서 엔지니어 멘토링 및 기술 리더십 발휘
카탈로그 ML 시스템의 중장기 기술 로드맵 수립 및 공용 ML/AI 기반 개선 기여

자격 요건

소프트웨어 엔지니어링 및/또는 머신러닝 엔지니어링 분야 총 10년 이상 경력
대규모 ML 시스템을 프로덕션 환경에서 4년 이상 직접 구축·운영한 경험
ML/AI/딥러닝 아키텍처, 손실함수, 최적화, 통계 모델링에 대한 깊은 이해
Python 능숙 + Scala/Java/PySpark 중 1개 이상 실무 경험
PyTorch/TensorFlow 기반 모델링 경험
SQL, Spark, Data Lake/Warehouse 등 대규모 데이터 처리 경험
AWS/GCP/Azure 등 클라우드 기반 ML 시스템 운영 경험
여러 이해관계자와 함께 복잡한 기술 프로젝트를 리드한 경험
글로벌 환경에서 필요한 높은 수준의 커뮤니케이션 스킬

우대 사항

관련 분야 석사 또는 박사 학위
이커머스/카탈로그/검색/데이터 품질 플랫폼 경험
임베딩·표현 학습·벡터/유사도 검색·대규모 클러스터링 경험
MLflow/Kubeflow/SageMaker/W&B 등 MLOps 도구 경험
고성능/저지연 추론 시스템 설계 경험
조직 단위 기술 방향성에 영향력을 행사한 경험
시니어/스태프 엔지니어 멘토링 경험

==

About the Team

The Catalog Engineering team builds foundational AI and ML systems that structure, validate, and optimize Coupang’s ever-growing product catalog. Our work powers the accuracy, quality, and consistency of catalog data used across Search, Recommendation, Personalization, Ads, and downstream customer experiences.

We innovate in large-scale machine learning, deep learning, data processing, and knowledge-based systems to ensure that Coupang’s catalog remains comprehensive, reliable, and operational at massive scale. We are looking for Staff-level ML Engineers who are passionate about building high-impact, production-grade ML platforms at the core of e-commerce.

Role / Responsibilities

As a Staff Machine Learning Engineer in Catalog Engineering, you will:

Architect and develop end-to-end ML systems that improve catalog quality, including product classification, attribute inference, normalization, disambiguation, and product grouping
Build and optimize large-scale predictive and generative models that operate on billions of product records and attributes
Design ML pipelines for feature computation, data preprocessing, model training, evaluation, deployment, and continuous monitoring
Apply state-of-the-art methods in deep learning, representation learning, vector modeling, and similarity search to solve catalog-centric problems
Partner with engineering, product, data, and platform teams to ensure catalog ML systems integrate effectively into mission-critical workflows
Drive experimentation frameworks (A/B tests, offline/online validation) to measure and improve model impact
Establish best practices for ML engineering, including model quality, monitoring, reliability, observability, and MLOps standards
Provide technical leadership across the ML lifecycle and mentor engineers on system design, modeling approaches, and pipeline development
Influence the long-term technical roadmap for Catalog Engineering by identifying opportunities for foundational improvements and reusable components

Basic Qualifications

10+ years of experience in software engineering and/or applied machine learning
4+ years of hands-on experience building production-grade, large-scale ML systems
Deep expertise in ML/AI/deep learning, including model architecture, loss functions, optimization, and statistical modeling
Strong programming skills in Python and at least one of: Scala, Java, or PySpark
Experience with ML frameworks such as PyTorch or TensorFlow
Significant experience with large-scale data processing (SQL, Spark, data lakes, data warehouses)
Experience deploying and operating ML systems in cloud environments (AWS, GCP, or Azure)
Strong track record of leading complex technical initiatives and working with cross-functional partners
Excellent communication skills and ability to influence engineering and product stakeholders

Preferred Qualifications

Master’s or PhD in Computer Science, Engineering, Statistics, Mathematics, or related fields
Experience in e-commerce, catalog systems, product understanding, search, or data quality platforms
Experience with embedding models, representation learning, vector similarity search, or large-scale clustering
Knowledge of MLOps practices and tooling (MLflow, Kubeflow, SageMaker, Weights & Biases, CI/CD for ML)
Experience designing high-throughput, low-latency inference systems
Ability to influence technical direction beyond the immediate team and contribute to shared ML/AI foundations
Experience mentoring senior engineers and driving architectural excellence

전형 절차 및 안내 사항

전형 절차
- 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격
- 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
- 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고 사항
- 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
- 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
- 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
- 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
- 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.

개인정보 처리방침 

쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy

서류 반환 정책 

본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다.
당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 
당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

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Coupang

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Staff, Back-end Engineer (Growth Engineering)

Coupang · Seoul, South Korea

zz-Evergreen Requisition Seoul Posted Apr 28, 2026

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 at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview:

In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang's growth and marketing efficiency. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for user profile, landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others.

As a Staff Engineer within Coupang’s Growth Engineering team, you will be instrumental in architecting and developing a next-generation CRM platform. You will lead initiatives to ensure the platform delivers an end-to-end campaign management including Campaign Plan, Target Customer Selection, Promotion optimization, Product Selection, Creative Management, Landing Page Creation and Campaign Performance Measurement. Design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your expertise will directly contribute to advancing Coupang’s data-driven capabilities, aligning technical innovation with strategic business objectives.

Key Responsibilities:

Design, develop, and automate large-scale, high-performance streaming data processing systems to drive business growth and enhance product experience

Build scalable infrastructure and pipelines using best-in-class software engineering practices

Ensure the platform supports high availability, reliability, and low-latency.
Take full ownership end to end: from solution investigation/benchmark, development to operational health

Establish and execute short and long-term architectural roadmaps

Drive continuous improvement to the efficiency and flexibility of the data, platform, and services while maintaining a high bar for customer trust, performance, and availability

Collaborate with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions
Implement data quality and validation processes to ensure the accuracy and consistency of ingested data

Basic Qualifications:

10+ years of professional software development experience

5+ years of experience in data-related products with proficiency in Spark, Flink, Spring, and Java

Experience with open-source frameworks and technologies, like Spring, AWS, APIs, NoSQL, Big Data Technologies (Kafka, Hive, Cassandra, ClickHouse, Apache Flink, Apache Spark, or similar)

Excellent coding skills, with emphasis on data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis

Distributed systems experience is a must, should be skilled at designing, implementing, and maintaining systems at scale, and working on tradeoffs based on business demand

Taking ownership comes naturally to you and you thrive in an environment where priorities and requirements are not always clear

Comfortable working and learning in an agile, fast-paced environment

Bachelor’s degree in computer science or related field

Preferred Qualifications:

Experience taking a leading role in building complex software systems that have been successfully delivered to customers
Experience with internet-scale datasets and feature engineering (feature pipeline and feature store development)
Experience communicating with users, other technical teams and senior management to collect requirements, describe software product features, technical designs and product strategy
Experience influencing software engineering best practices
Hands-on expertise in many disparate technologies, ranging from front-end user interfaces through to back-end systems and all points in between
Experience working backwards from the customer and delivering innovative, simple solutions
Fluency in oral English

At Coupang, you will:

Work on a challenging and impactful project that directly influences Coupang's user acquisition and engagement strategies
Collaborate with a talented global team of engineers, data scientists, and product owners who are passionate about building innovative solutions

If you are a passionate engineer with the skills and experience to make a significant impact on Coupang's user understanding and personalization efforts, we encourage you to apply!

[Recruitment Process and Others]

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.

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://www.coupang.jobs/kr/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.

[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.

Ready to apply?

Coupang

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Sr. Staff Machine Learning Engineer (Eats Search & Discovery)

Coupang · Seoul, South Korea

Search and Discovery Seoul Posted Apr 28, 2026

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.

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.

Ready to apply?

Coupang

View all jobs →

Sr. Staff, Back-end Engineer (Growth Engineering)

Coupang · z-Test & Templates Only

zz-Evergreen Requisition Seoul Posted Apr 28, 2026

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.

Role Overview:

In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang's growth and marketing efficiency. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for user profile, landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others.

As a Senior Staff Engineer within Coupang’s Growth Engineering team, you will be instrumental in architecting and developing a next-generation CRM platform. You will lead initiatives to ensure the platform delivers an end-to-end campaign management including Campaign Plan, Target Customer Selection, Promotion optimization, Product Selection, Creative Management, Landing Page Creation and Campaign Performance Measurement. Design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your expertise will directly contribute to advancing Coupang’s data-driven capabilities, aligning technical innovation with strategic business objectives.

Key Responsibilities:

Design, develop, and automate large-scale, high-performance streaming data processing systems to drive business growth and enhance product experience

Build scalable infrastructure and pipelines using best-in-class software engineering practices

Ensure the platform supports high availability, reliability, and low-latency.
Take full ownership end to end: from solution investigation/benchmark, development to operational health

Establish and execute short and long-term architectural roadmaps

Drive continuous improvement to the efficiency and flexibility of the data, platform, and services while maintaining a high bar for customer trust, performance, and availability

Collaborate with data scientists, machine learning engineers, and other stakeholders to understand data requirements and deliver solutions
Implement data quality and validation processes to ensure the accuracy and consistency of ingested data

Basic Qualifications:

10+ years of professional software development experience

5+ years of experience in data-related products with proficiency in Spark, Flink, Spring, and Java

Experience with open-source frameworks and technologies, like Spring, AWS, APIs, NoSQL, Big Data Technologies (Kafka, Hive, Cassandra, ClickHouse, Apache Flink, Apache Spark, or similar)

Excellent coding skills, with emphasis on data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis

Distributed systems experience is a must, should be skilled at designing, implementing, and maintaining systems at scale, and working on tradeoffs based on business demand

Taking ownership comes naturally to you and you thrive in an environment where priorities and requirements are not always clear

Comfortable working and learning in an agile, fast-paced environment

Bachelor’s degree in computer science or related field

Preferred Qualifications:

Experience taking a leading role in building complex software systems that have been successfully delivered to customers
Experience with internet-scale datasets and feature engineering (feature pipeline and feature store development)
Experience communicating with users, other technical teams and senior management to collect requirements, describe software product features, technical designs and product strategy
Experience influencing software engineering best practices
Hands-on expertise in many disparate technologies, ranging from front-end user interfaces through to back-end systems and all points in between
Experience working backwards from the customer and delivering innovative, simple solutions
Fluency in oral English

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.

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.

Ready to apply?

Coupang

View all jobs →

[AI Frontier] Product Owner (7년 이상)

KRAFTON · Seoul

Management Supporting Seoul Posted Apr 20, 2026

우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다.
예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다.

We pioneer the path to players' dreams.
With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe.

우리 팀(프로젝트)을 소개합니다.

AI Frontier 본부는 크래프톤이 보유한 AI 기술과 선행 R&D 자산을 기반으로 새로운 제품과 사업을 만드는 조직입니다.

AI는 지금 이 순간에도 사회의 많은 영역에서 균열과 새로운 기회를 동시에 만들고 있습니다. 크래프톤은 https://www.krafton.ai/ 에서 확인할 수 있는 것처럼 선도적인 AI 기술력을 확보하고 있으며, 이를 기반으로 다양한 사업화 기회를 모색하고 있습니다. 우리는 크래프톤이 보유한 AI 기술을 바탕으로 게임과 비게임 영역을 아우르며 고객에게 가치를 제공하는 서비스를 구현하는 것을 목표로 합니다.

AI Frontier 본부의 Product Owner는 각 사업 영역의 mini CEO로서 역할과 책임을 맡게 됩니다. 시장과 고객에 대한 깊은 이해를 바탕으로 서비스를 기획하고, 크래프톤이 보유한 AI 기술과 리소스를 활용하여 새로운 제품과 사업을 직접 만들어가는 역할입니다. AI-native engineer, AI researcher와 함께 작은 Squad 단위로 빠르게 실험하고, 아이디어를 검증하며, 이를 실제 사업으로 성장시키는 것을 목표로 합니다.

AI 시대에 새로운 도전을 찾고 계신 분, 실패를 두려워하지 않고 끊임없이 시도할 수 있는 Grit을 가진 분, 그리고 문제 해결 역량을 바탕으로 사업화 과정에서 마주하는 다양한 도전을 함께 해결해 나갈 분을 찾고 있습니다.

우리 팀과 함께할 미션을 소개합니다.

AI 기술 기반 신규 제품 및 사업 기회 발굴, 전략 수립, 기획 및 구현
제품/사업 전략 수립부터 실행까지 End-to-End 전 과정 총괄 및 성과 책임
AI Engineer, AI Researcher와 협업하여 제품 개발 전략 수립, 방향 설정 및 실행 리드
초기 고객 발굴 및 PoC/Pilot 설계·검증을 통한 Product-Market Fit 분석 및 확인
데이터 및 사용자 피드백 기반 제품 고도화 및 사업 성장 총괄

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

하나 이상의 제품/서비스 또는 사업을 End-to-End로 리딩하여 출시 및 운영까지 경험
불확실한 환경에서 신규 제품/사업 기회와 전략을 정의하고 실행하여 사업화까지 연결한 경험
시장 및 고객 문제를 분석하고, 이를 제품 또는 사업 기회로 구체화한 경험
엔지니어 및 크로스펑셔널 팀과 협업하여 제품 개발을 리드하고 주요 의사결정을 주도한 경험
데이터 기반으로 제품 방향성과 사업 의사결정을 수행한 경험 (지표 분석, 실험 설계 등)
제품/사업 전략 수립 및 사업화 관련 경력 7년 이상
해외 출장에 결격 사유가 없는 분

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

스타트업 또는 0→1 단계의 제품·사업을 만들어 본 경험이 있으신 분
AI/ML 기반 제품 또는 서비스를 기획·개발·운영해 본 경험이 있으신 분
엔지니어와 긴밀하게 협업하여 제품 출시 또는 주요 기능 개발을 리드한 경험이 있으신 분
글로벌 서비스를 기획하거나 해외 사용자 대상 제품을 운영해 본 경험이 있으신 분
MBA 학위 보유 또는 전략 컨설팅 등 비즈니스 문제를 구조화하고 해결한 경험이 있으신 분

크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다.

서류 전형 > 전화 인터뷰 (Phone Interview) > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사
상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다.
전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다.
전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다.
필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다.

필요 서류를 확인해주세요!

입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필요 시)
신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기를 바랍니다.
포트폴리오 첨부 시, 하단 안내 사항을 확인해주시기를 바랍니다.

근무지

역삼 센터필드 West 타워

고용형태

전문계약직

아래 안내 사항을 확인해주세요!

장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다.
지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다.
채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다.

BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면?

Please check the information below

Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
False statements in your resume may lead to the withdrawal of the employment offer
A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
Please contact career@krafton.com for other inquiries

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

Ready to apply?

KRAFTON

View all jobs →

[HR Div.] Recruiter (3년 이상 / 계약직)

KRAFTON · Seoul

Management Supporting Seoul Posted Apr 14, 2026

우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다.
예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다.

We pioneer the path to players' dreams.
With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe.

우리 팀(프로젝트)을 소개합니다.

Talent Acquisition팀은 크래프톤의 전사 채용 전략을 수립하고 실행하는 조직입니다. 단순한 공고 운영을 넘어, 기술 변화의 흐름에 맞춰 필요한 인재를 정의하고 시장에서 선제적으로 확보하는 것을 핵심 역할로 하고 있습니다.

AI, 게임, 반도체 등 빠르게 변화하는 기술 환경 속에서 크래프톤이 글로벌 경쟁력을 유지할 수 있도록, 세계 각지의 우수 인재를 직접 발굴하고 연결하는 채용 체계를 구축하고 있습니다. 이를 위해 데이터 기반 소싱 전략과 체계적인 파이프라인 운영을 바탕으로, 채용 전반을 구조적으로 설계하고 실행하고 있습니다.

이번 포지션은 소싱과 리크루팅을 통합적으로 수행하며 채용 전반을 주도할 Senior Recruiter 역할입니다. 전략 포지션에 대한 인재 정의부터 소싱 전략 수립, 후보자 발굴, 면접 프로세스 운영, 오퍼 협상까지 채용 전 사이클을 직접 리드하게 됩니다.

우리 팀과 함께할 미션을 소개합니다.

Tech, AI, 게임 등 핵심 직군의 전략 포지션에 대해 채용 전략을 수립하고 End-to-End 채용을 주도
LinkedIn 등 다양한 채널을 활용하여 시장 내 우수 인재를 선제적으로 발굴 및 파이프라인 구축
채용 공고 기획 및 운영, 서류 검토, 면접 프로세스 설계 및 실행 등 담당 조직 채용 포지션 전 과정 리드
후보자와의 커뮤니케이션을 통해 처우 협의, 입사 과정 전반 관리 및 후보자 경험 개선
소싱 채널 및 채용 성과를 분석하여 데이터 기반 채용 전략 및 효율화 방안 도출

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

채용 소싱 및 리크루팅 분야 통합 경력 3년 이상
소싱부터 오퍼까지 채용 전 사이클을 독립적으로 운영한 경험
LinkedIn Recruiter, Boolean Search 등 소싱 툴 및 기법 활용 역량 보유
ATS(Applicant Tracking System) 운영 경험
데이터를 기반으로 채용 성과를 분석하고 개선안을 도출할 수 있는 역량
영어 커뮤니케이션 가능자 (이메일 및 기본 업무 커뮤니케이션 수준 이상)

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

Tech, AI, 게임, 반도체 등 기술 중심 기업에서의 채용 소싱 경험
개발자, ML Engineer, Data Scientist 등 기술 직군 소싱 경험
글로벌 인재 소싱 경험 (해외 후보자 발굴 및 커뮤니케이션)
Greenhouse, Workday 등 글로벌 ATS 사용 경험

크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다.

서류 전형 > 전화 인터뷰 (Phone Interview) > 직무면접 (Technical Fit Interview) > 종합면접 (Culture Fit Interview) > 합격 및 입사
상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다.
전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다.
전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다.
필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다.

필요 서류를 확인해주세요!

입사지원서 (자유 양식), 경력기술서
신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다.
포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다.

근무지

역삼 센터필드 East 타워

고용형태

계약직 (1년, 육아휴직 대체, 정규직 전환 비대상)

아래 안내 사항을 확인해주세요!

장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다.
지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다.
채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다.

BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면?

Please check the information below

Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
False statements in your resume may lead to the withdrawal of the employment offer
A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
Please contact career@krafton.com for other inquiries

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

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Applied AI Engineer

Sendbird · Seoul, South Korea

Engineering Seoul, South Korea Posted Apr 10, 2026

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.

Ready to apply?

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Specialist Solutions Architect

Databricks · Seoul, South Korea

Field Engineering - Other Seoul, South Korea Posted Apr 9, 2026

FEQ227R130

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
Architect production level workloads, including end-to-end pipeline load performance testing and optimisation
Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
Improve community adoption (through tutorials, training, hackathons, conference presentations)
Contribute to the Databricks Community

What we look for:

You will have experience in a customer-facing technical role with expertise in at least one of the following:

Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.
Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.

Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
Maintain and extend production data systems to evolve with complex needs.
Production programming experience in Python, R, Scala or Java
Deep Specialty Expertise in at least one of the following areas:
Experience scaling big data workloads that are performant and cost-effective.
Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.
Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Native level Korean is required and Business level English is a plus

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ready to apply?

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AI Engineer

MarqVision · Seoul, Korea

Engineering Korea Office Posted Apr 6, 2026

Protecting and building a future shaped by original ideas, innovations, and creativity.

From counterfeits and pirated content to fraudulent sites and unauthorized sellers, MarqVision provides an end-to-end brand integrity platform across e-commerce, social media and emerging AI platforms. Our AI-powered managed service platform for brand control and intelligence enables rapid, scalable enforcement so that brands can move faster, protect revenue, and preserve brand equity across every digital touchpoint. In a time when IP infringements pose an increasingly serious challenge, we believe that democratizing legal expertise and access to the latest in generative AI technology is critical for continuing to support the inventors, developers, and artists of the world who work tirelessly to deliver safe, high-quality products. Founded by Harvard Law graduates in 2020, MarqVision recently raised Series B, bringing total funding to $89M, and is backed by Y Combinator, Peak XV (formerly Sequoia Capital India), HSG (formerly Sequoia Capital China), Salesforce Ventures, Altos Ventures, DST Global Partners, and Softbank. Recognized with an LVMH Innovation Award and the Inc 5000 Fastest Growing Companies award in 2025, MarqVision continues to push boundaries in brand control, ensuring that innovation, creativity, and trust remain safeguarded in a rapidly evolving digital world.

How You’ll Make an Impact at MarqVision

마크비전팀은 전 세계 모든 브랜드와 콘텐츠 기업이 사용할 수 있는 "IP 인프라 소프트웨어"를 만들어 나가고 있습니다. AI 팀은 마크비전이 개발하는 소프트웨어에서 사용되는 모든 AI 서비스를 개발하고 플랫폼을 운영합니다. 도메인 데이터와 머신러닝 기술을 효과적으로 활용해 실제 문제를 해결하며, 최신 기술을 바탕으로 최적화된 머신러닝 시스템을 개발하고 있습니다.

What You’ll Achieve

LLM과 에이전트 기반 워크플로우를 설계·구축해 위조 상품/콘텐츠 탐지 및 IP 집행 프로세스를 자동화합니다.
에이전틱 파이프라인을 직접 설계하고, 프로덕션 환경에서 실제 서비스로 운영·발전시킵니다.
멀티모달, 추론 모델 등 최신 기술을 빠르게 실험하고, 검증된 결과를 팀 전체의 실행력으로 전환합니다.

Skills You’ll Need to Bring

2년 이상의 ML 엔지니어링 또는 데이터 / 백엔드 경험, 프로덕션 서비스 운영 경험 필수.
LLM API(OpenAI, Anthropic 등) 활용 및 에이전트 파이프라인 구축 경험.
협업하며 복잡한 문제를 풀어낸 경험.

Nice to Have

ML 모델을 직접 파인튜닝하거나 평가 파이프라인을 구축해본 경험.
비전·언어 모델(VLM) 활용 경험.
영어로 업무 협업 가능.

Interview Process

서류 전형 - 모든 서류는 PDF로 제출해 주세요.
1차 — (화상) 스크리닝 인터뷰
2차 — (대면) 기술 면접
3차 — (화상) 최종 인터뷰

Equal Opportunity

At MarqVision, we believe real growth comes with attracting the brightest minds, motivating them to succeed in their position, and ensuring plenty of fun along the way. If you think this position is for you, apply now! MarqVision is an Equal Opportunity Employer and encourages applicants of all backgrounds to apply. We are committed to building a diverse and inclusive workforce that reflects the customers and communities we serve.

By applying for this role, you acknowledge MarqVision’s Global Recruiting Privacy Policy. Your privacy is important to us. Please review our Candidate Privacy Notice.

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[AI Research Div.] Research Engineer - Vision Language Action Game Agent (2년 이상 / 인턴)

KRAFTON · Seoul

Data Seoul Posted Apr 6, 2026

우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다.
예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다.

We pioneer the path to players' dreams.
With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe.

AI Research 본부에 대한 더 많은 내용은 크래프톤 AI Research 본부 홈페이지 (아래 이미지 클릭) 및 크래프톤 AI Research 본부 소개 영상을 통해 확인하실 수 있습니다.
(바로가기 : KRAFTON AI)

우리 팀(프로젝트)을 소개합니다.

[AI Research 본부 비전]

크래프톤 AI Research 본부는 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두 가지입니다.

게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대.
고유의 딥러닝 기술을 개발하여 이를 게임 내/외적으로 다양한 어플리케이션으로 적용.

[R&D]

AI Companion Team은 KRAFTON 내부 게임에서 LLM, SLM, VLM을 적용해 유저와 상호작용하고, 전략 수립 및 협동이 가능한 AI Companion 을 개발합니다.

실시간 게임 환경에서 AI 에이전트가 플레이어와 한 팀이 되어 함께 호흡하며 몰입도 높은 플레이 경험을 제공하는 것을 목표로 합니다.
게임 상황을 스스로 파악하고, 유저에게 선제적인 가이드를 제공함으로써 안정적인 적응을 돕는 것을 목표로 합니다.
최적화된 모델 설계부터 운영까지 전 과정을 주도적으로 수행합니다.

[Culture Fit]

AI Research 본부 인원들은 본인 분야에만 묶여있지 않고 서로 다른 프로젝트 팀원들과 교류 및 협업하여 다양한 문제에 창의적인 아이디어를 제시 할 수 있습니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 언어적 장벽을 해소해줄 수 있는 방법들을 적극 지원하고 있습니다.

우리 팀과 함께할 미션을 소개합니다.

게임 환경에서 멀티모달 입력(화면/텍스트/게임 상태 등)을 받아 행동을 출력하는 VLA 에이전트 모델 연구 및 구현
Instruction-following 성능 향상을 위한 데이터 설계, 학습 레시피 수립, 실패 케이스 분석 및 개선
Real-time 제약을 고려한 모델링/추론/서빙 최적화 및 성능 검증
대규모 학습 데이터 수집·정제 파이프라인 구축/운영

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

인공지능(AI), 컴퓨터공학, 혹은 관련 기술 분야에서 현재 석사 혹은 박사 학위 과정을 밟고 있는 분
연구를 주도할 수 있으며 딥러닝 관련 논문을 통해 빠르게 이해하고 실험 설계할 수 있는 능력
새로운 domain에 빠르게 적응할 수 있는 분
원활한 업무 커뮤니케이션 능력

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

AI/ML 탑티어 학회 (NeurIPS, ICLR, ICML 등) 관련 분야 탑티어 저널 논문 작성을 경험하신 분
Vision Language Action Model 관련 탁월한 프로젝트 성과가 있으신 분
타 직군(게임 기획, 아트, 사업 등)과의 원활한 커뮤니케이션 스킬을 갖추고 있는 분

크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다.

서류 전형 > 사전 인터뷰 (Phone Interview) > *직무 테스트 (Pre-Test) > 직무 면접 (Technical Fit Interview) > 종합 면접 (Culture Fit Interview) > 학/경력, 평판조회 > 처우협의 > 최종 합격 및 입사
*해당 전형은 포지션에 따라 변동될 수 있습니다.
각 전형의 세부 진행 방식은 개별 안내드립니다.
필요 시 직무 테스트 또는 면접 전형이 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내드립니다.
전형 결과는 지원서에 기재된 이메일로 2주 이내 발송되며, 내부 일정에 따라 다소 지연될 경우 별도 안내드립니다.
본 공고는 상시채용으로 진행되며, 우수 인재 채용 시 조기 마감될 수 있습니다.

필요 서류를 확인해주세요!

입사지원서 (CV 형식/가이드라인), 자기소개서, 경력기술서, 포트폴리오 (필수)
신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다.
포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다.

근무지

역삼 센터필드 West 타워

고용형태

인턴 (6개월)

아래 안내 사항을 확인해주세요!

장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다.
지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다.
채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다.

BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면?

Please check the information below

Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
False statements in your resume may lead to the withdrawal of the employment offer
A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
Please contact career@krafton.com for other inquiries

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

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KRAFTON

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[AI Research Div.] [전문연구요원] Research Scientist/Engineer - Vision-Language-Action (VLA) for Robotics (2년 이상)

KRAFTON · Seoul

Data Seoul Posted Apr 6, 2026

우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다.
예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다.

We pioneer the path to players' dreams.
With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe.

※ 본 공고는 2026년도 전문연구요원 현역 신규편입 대상입니다. 조건 부적합 시 불합격으로 안내드리는 점 참고 부탁드립니다.
AI Research 본부에 대한 더 많은 내용은 크래프톤 AI Research 본부 홈페이지 (아래 이미지 클릭) 및 크래프톤 AI Research 본부 소개 영상을 통해 확인하실 수 있습니다.
(바로가기 : KRAFTON AI)

우리 팀(프로젝트)을 소개합니다.

[Physical AI Team]

AI 기술은 언어를 이해하고 이미지를 생성하는 것을 넘어, 이제 물리적인 세계(Physical World)로 그 영역을 넓히고 있습니다. 저희 Physical AI 팀은 가상 공간에 머물던 인공지능을 현실 세계로 이끌어내어, 휴머노이드 로봇이 스스로 생각하고 움직이며 일상 속에서 우리와 함께하는 미래를 그리고 있습니다.

그러나 현실 세계는 복잡하고 예측하기 어렵습니다. 저희는 이 문제를 풀기 위해 크래프톤이 가진 게임 개발 기술과 AI 기술을 활용하여, 로봇이 실제 세상을 이해하는 데 필요한 대규모 경험을 만들어내고자 합니다. 게임 AI를 활용해 사실적인 시뮬레이터를 구축하고, 가상 세계로부터 대규모 데이터를 생성하며, 그곳에서 축적된 경험이 World Model을 통해 현실 속 로봇으로 전이되는 접근 방식을 시도하고 있습니다.

저희는 이 일이 단순한 기술 개발을 넘어, 인간과 로봇이 공존하는 새로운 시대를 여는 모험이라고 믿습니다. 스스로 문제를 정의하고, 실패할 수도 있는 시도를 반복하며, 아무도 가보지 않은 길을 처음 걸어볼 기회가 여기 있습니다. 이 험난한 도전에 끈기와 열정을 가지고 함께할 분들을 기다리겠습니다. 감사합니다.

[Culture Fit]

AI Research 본부 인원들은 다양한 프로젝트에서 여러 분야의 팀원들과 교류하고 협업하며 어려운 문제에 창의적인 아이디어를 제시할 수 있습니다. 나이와 직급에 관계없이 자유롭게 의견을 개진하는 분위기가 장려됩니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 통·번역 등 언어적 장벽을 해소할 수 있는 방법들을 적극 지원하고 있습니다.

우리 팀과 함께할 미션을 소개합니다.

LLM/VLM/VLA 모델의 pre-training과 post-training 기술 연구개발
강화학습, 모델 경량화 및 최적화, Diffusion Model 학습 알고리즘 연구개발
Manipulation, Locomotion, Visual SLAM 등의 학습 알고리즘 연구개발
Egocentric human video 수집 및 이를 활용한 로봇 학습 기술 연구개발
Teleoperation 기반 로봇제어 알고리즘 연구 및 로봇 학습 데이터 수집
MuJoCo, Isaac Sim 기반 시뮬레이션 환경 개발 및 ROS2, Newton 기반 로봇 제어 시스템 개발
Sim2Real 파이프라인 구현 및 실제 로봇에서의 학습된 모델 성능평가

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

2026년도 내 전문연구요원 현역 신규편입으로 입사 가능하신 분 (석사 이상 학위를 취득 또는 석/박사 통합과정 수료 대상)
인공지능(AI), 컴퓨터공학, 로보틱스 또는 관련 기술 분야에서 석사 학위를 취득했거나 그와 동등한 업무 경험이 있는 분
LLM/VLM/VLA 및 Robotics 관련 프로젝트 등에서 업무 경험이 있는 분
Python, Pytorch, Robotics Platform, Simulation 등에 대한 높은 개발 역량이 있는 분
해외 출장에 결격 사유가 없는 분

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

인공지능(AI), 컴퓨터공학, 로보틱스 또는 관련 기술 분야에서 박사 학위를 취득했거나 그와 동등한 업무 경험이 있는 분
NeurIPS, ICLR, ICML, ICRA, IROS, RSS, CoRL 등 machine learning, robotics 분야 주요 학회 및 저널에 논문을 게재한 경험이 있는 분
LLM/VLM/VLA, Whole-body control, Teleoperation, Egocenctric 데이터 수집 및 학습, Robotics 하드웨어, 제어이론, 시뮬레이션, on-device 추론속도 최적화 등에 관한 논문 발표 및 프로젝트 실적
타 직군(기획, 개발, 아트, 사업 등)과도 원활한 협업이 가능한 분

크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다.

서류 전형 > 사전 인터뷰 (Phone Interview) > *직무 테스트 (Pre-Test) > 직무 면접 (Technical Fit Interview) > 종합 면접 (Culture Fit Interview) > 학/경력, 평판조회 > 처우협의 > 최종 합격 및 입사
*해당 전형은 포지션에 따라 변동될 수 있습니다.
각 전형의 세부 진행 방식은 개별 안내드립니다.
필요 시 직무 테스트 또는 면접 전형이 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내드립니다.
전형 결과는 지원서에 기재된 이메일로 2주 이내 발송되며, 내부 일정에 따라 다소 지연될 경우 별도 안내드립니다.
본 공고는 상시채용으로 진행되며, 우수 인재 채용 시 조기 마감될 수 있습니다.

필요 서류를 확인해주세요!

입사지원서 (CV 형식/가이드라인), 자기소개서, 경력기술서, 포트폴리오 (필수)
신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다.
포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다.

근무지

역삼 센터필드 West 타워 또는 성수

고용형태

정규직 (단, 후보자 처우 협의 결과에 따라 고용형태가 변경될 수 있음)

아래 안내 사항을 확인해주세요!

장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다.
지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다.
채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다.

BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면?

Please check the information below

Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
False statements in your resume may lead to the withdrawal of the employment offer
A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
Please contact career@krafton.com for other inquiries

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

Ready to apply?

KRAFTON

View all jobs →

Head of Solutions Architects, Applied AI (Korea)

Anthropic · Seoul, South Korea

Sales Seoul, South Korea Posted Apr 1, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for building and leading the Korea Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills—in both Korean and English—to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
3+ years of technical go-to-market management experience, specifically managing pre-sales teams
Native or business-level fluency in Korean and professional proficiency in English
Experience working with Korean enterprise customers and understanding local business culture and decision-making processes
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Ready to apply?

Apply to Anthropic

Anthropic

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Software Engineer, AI Agent

Sendbird · Seoul, South Korea