Summer 2026 Intern
About The Position
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.
Requirements
- 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
- Must be actively enrolled in an accredited university during the internship
- Preferred academic level: Sophomore, Junior, Senior
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Mentorship, performance feedback, and final evaluation
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What This Job Offers
Job Type
Full-time
Career Level
Intern
