Staff Machine Learning Engineer, Offsite Ads

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.Role Overview As our Staff Machine Learning Engineer for Coupang Media Group (CMG), Offsite Ads, you will be responsible for defining and building the next generation of machine learning systems, optimization platforms, and AI-native advertising products that power Coupang's rapidly growing offsite advertising business.The Coupang Media Group (CMG) provides advertisers with a comprehensive suite of marketing solutions designed to help brands reach customers and accelerate business growth. While CMG established a leading advertising marketplace within Coupang's ecosystem, Offsite Ads extends advertiser reach beyond Coupang-owned properties, enabling brands to engage customers across the broader internet while leveraging Coupang's unique commerce signals, first-party audience assets, and deep understanding of shopper intent.Since its inception in 2025, the Offsite Ads business has experienced exceptional growth, achieving more than 2x year-over-year revenue growth for consecutive years. As we continue to scale, we are investing heavily in world-class machine learning, large-scale AI infrastructure, and next-generation advertising technologies to build one of the industry's most advanced commerce media platforms.This is a unique opportunity to join and shape a fast-growing organization with significant revenue impact and strategic importance to Coupang. You will work on some of the most challenging problems in modern advertising, including large-scale prediction systems, bidding optimization, auction dynamics modeling, generative retrieval, foundation models, LLM-powered advertising solutions, and agentic AI systems.Our vision extends beyond traditional offsite advertising. We are building the foundational technology that will evolve into a comprehensive advertising ecosystem spanning demand-side platforms (DSP), supply-side platforms (SSP), ad exchanges, and AI-powered marketing solutions that connect advertisers with customers across the open internet.What You Will DoDesign and build machine learning models and systems that improve ad targeting, ranking, bidding, and campaign performance across Coupang's Offsite Ads platform.Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.Apply modern AI technologies such as LLMs, embeddings, agentic AI, and deep learning to solve complex advertising challenges.Build scalable ML infrastructure and production systems that enable rapid experimentation and reliable model deployment.Define success metrics, evaluate business impact, and continuously improve model performance through data-driven experimentation.Partner closely with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems.Drive projects from concept to production with strong ownership and accountability for business outcomes.Mentor engineers and contribute to a culture of technical excellence, innovation, and continuous learning.Basic QualificationsBachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.6+ years of industry experience developing and deploying machine learning solutions in production environments.Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.Hands-on experience developing production-grade ML systems using Python and/or Java.Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization problems.Demonstrated ability to solve complex and ambiguous business problems through data-driven analysis and machine learning innovation.Proven track record of owning large technical initiatives and delivering measurable business impact.Preferred QualificationsMaster's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.Experience with modern AI technologies, including LLMs, generative AI, embedding models, retrieval systems, or agentic AI.Strong expertise in PyTorch and developing large-scale production machine learning systems.Experience with distributed training, model serving, and ML platforms in cloud environments.Familiarity with ML tools and frameworks such as PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.Demonstrated ability to solve ambiguous problems, drive technical strategy, and deliver measurable business impact.Strong communication and collaboration skills, with the ability to influence stakeholders across multiple functions.Comfortable operating in a fast-paced, high-growth environment with a strong sense of ownership and customer focus.Pay & BenefitsOur compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.The base pay for Staff position ranges from $164K/year to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.General Description of All BenefitsAnnual bonus is 0-20% of the base salaryMedical/Dental/Vision/Life, AD&D insuranceFlexible Spending Accounts (FSA) & Health Savings Account (HSA)Long-term/Short-term DisabilityEmployee Assistance Program (EAP) program401K Plan with Company Match18-21 days of the Paid Time Off (PTO) a year based on the tenure12 Public Holidays6 weeks Paid Parental leavePre-tax commuter benefitsMTV - [Free] Electric Car Charging StationGeneral Description of Other Compensation“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.Recruitment Process and OthersRecruitment ProcessApplication Review - Phone Interview - Onsite (or Virtual Onsite) Interview – OfferThe 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 ConsiderThis job posting may be closed prior to the stated end date for application if all openings are filled.Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: .If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at View email address on click.appcast.io is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at View email address on click.appcast.io ID: R0081748