🛠 Tech Stack

💼 About This Role

You'll architect and automate Coupang's data intelligence layer, bridging raw data and organizational knowledge for the Taiwan market. Your core impact is building AI-driven systems that ensure business metrics are fresh, accurate, and accessible via automated knowledge engineering and self-healing data pipelines. This role stands out for driving the transition to an AI-first analytics organization at a fast-growing e-commerce giant.

🎯 What You'll Do

• Design end-to-end ML pipelines for automated Knowledge Base creation using LLMs and RAG.
• Develop automated validation frameworks to ensure metric integrity and single source of truth.
• Architect self-healing data pipelines with AI-powered schema mapping and error detection.
• Scale data and analytics services for high availability and low-latency access across the organization.

📋 Requirements

• 8+ years in software engineering and applied machine learning.
• 2+ years in a Staff or Lead capacity.
• Python or Java proficiency for production ML systems and data pipelines.
• SQL and big data technologies (Spark, Presto/Trino, Airflow).

✨ Nice to Have

• Master's or PhD in a relevant technical field.
• Experience deploying LLMs, vector databases, and embedding retrieval in production.
• Experience with AWS or GCP (SageMaker, Vertex AI, BigQuery).

🎁 Benefits & Perks

• 🏖️ Hybrid work model with flexibility.
• 💰 Competitive compensation including equity.
• 📈 Career growth in a fast-paced, global e-commerce company.
• 🏥 Health insurance and other benefits (implied for South Korea).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Screen· 60 min
3. 3Onsite Interviews (multiple rounds)· 4-5 hours