Machine Learning Intern, AQ

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. 

• →Model Optimization: Apply deep learning, learning-to-rank, recommendation algorithms, and advanced feature engineering to optimize ad ranking and retrieval models.
• →Algorithmic Design: Understand business objectives and user behavior to design effective loss functions, evaluation metrics, and model architectures for CTR/CVR prediction.
• →Production Implementation: Implement, test, and prototype machine learning solutions within our high-concurrency, low-latency production systems under the mentorship of senior engineers.
• →Cross-Functional Collaboration: Collaborate with other Coupang tech and infrastructure teams to ensure models scale seamlessly and unlock new monetization opportunities.

• 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) 
• 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)