Description
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’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Coupang Intelligent Cloud – Software Engineering team builds and maintains the foundational infrastructure and developer tools that power the AI lifecycle. Our responsibilities include a robust Resource Manager and a suite of AI development tools such as Workflow Orchestration, GPU virtualization, AI orchestration for large scale AI training and inferencing workloads, Model Insights, Model Registry, and more—enabling customers to seamlessly create, manage, and monitor their AI workloads.
As an AI Software Engineering Intern, you will work alongside experienced engineers to improve AI lifecycle and ML Ops platform that powers Coupang’s large scale AI models. You’ll gain hands-on experience building scalable machine learning workflows, AI infrastructure including GPU fleet, working with large-scale datasets, and contributing to production systems that impact real customers.
What Will You Gain
- Hands-on experience building production-grade ML workflows for training and inferencing at scale
- Exposure to large-scale distributed systems and data processing
- Mentorship from experienced engineers and technical leaders
- Insight into e-commerce systems and advanced AI Factory implementation
- Opportunity to contribute to real features used by millions of customers
What You Will do
- Develop and improve production-grade ML workflows for training and inferencing
- Design and build features that optimize ML model performance and fine tune AI factory to generate higher inferencing throughput.
- Contribute to scalable data pipelines and ML infrastructure (offline and real-time systems)
- Collaborate with cross-functional teams to deliver production-ready solutions
- Debug search queries and analyze AI Model behavior to improve product outcomes
Basic Qualifications
- Currently pursuing a Bachelor’s in Computer Science, Computer Engineering, or a related technical field
- Experience with at least one programming language (e.g., Python, Java, or C++)
- Foundation in data structures, algorithms, and software engineering principles
- Familiarity with machine learning concepts
- Ability to work in a collaborative, fast-paced environment
Preferred Qualifications
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, XGBoost)
- Experience with GPU fundamentals and Virtualization.
- Familiarity with big data tools (e.g., Spark, Hive, Hadoop)
- Experience with SQL and relational databases
- Exposure to distributed systems or cloud platforms (AWS, GCP, or Azure)
- Prior internship or research experience in ML, data engineering, or systems
- Strong problem-solving skills and demonstrated ownership
Eligibility & Program Details
- Must be actively enrolled in an accredited university during the internship
- Preferred academic level: Sophomore, Junior, Senior
- Internship Term: Summer 2026 (10-week program)
Pay & Benefits
- Internships are full-time (40 hours per week)
- Hourly Pay Range: $40 – $45 per hour; we do not anticipate overtime work, but if there is, any overtime hours would be paid in accordance with applicable law
- Compensation is based on market location, skills, and experience
- Mentorship, performance feedback, and final evaluation
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.
R0073698