Staff AI Engineer
Coupang · Seattle, USA
About this role
**Staff AI Engineer** **About Coupang** We exist to wow our customers—making shopping, eating, and living easier than ever. Coupang is one of the fastest-growing e-commerce companies, known for being a dominant and reliable force in South Korean commerce. We combine startup culture with the resources of a large global public company, enabling rapid growth and new service launches. You’ll work with bold, hands-on teams focused on building the future of commerce. --- **Role Overview** The Digital Trust Group safeguards Coupang’s global e-commerce platform through robust cybersecurity, data privacy engineering, and corporate IT security infrastructure. The team designs and implements enterprise-wide security architectures (e.g., zero-trust access models, data loss prevention (DLP), and cloud security controls) and automates security processes to proactively mitigate risk across customer, merchant, and internal employee workflows. --- **What You Will Do** **Build AI-Powered Investigation Systems** - Develop AI workflows that automate investigation and analysis tasks - Build agent-based systems that interact with internal tools, data sources, and knowledge repositories - Improve reasoning quality, reliability, and performance of AI-driven workflows - Implement human-in-the-loop review and feedback mechanisms **Build Detection and Risk Analytics** - Design and implement detection logic for suspicious or high-risk activity - Develop risk signals, behavioral analytics, and anomaly detection capabilities - Create systems that combine multiple telemetry sources into actionable intelligence - Improve quality and coverage of existing detection capabilities **Develop Data and Signal Pipelines** - Build scalable batch and streaming pipelines for AI and analytics workloads - Develop feature engineering workflows used by AI models and detection systems - Create data products that support investigation, automation, and risk assessment - Improve data quality, observability, and operational reliability **Build Production AI Services** - Design and implement APIs, backend services, and distributed systems that support AI applications - Develop frameworks to make AI workflows easier to deploy, evaluate, and operate - Monitor production systems and troubleshoot reliability or quality issues - Participate in architecture discussions and contribute to technical design reviews --- **Basic Qualifications** - Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field - 4 years of professional experience in applied machine learning - Experience in machine learning, deep learning, and statistical modeling - Proficiency in Python and/or Java, with experience building production-grade ML systems --- **Preferred Qualifications** - Experience with machine learning/AI, data-intensive systems, or analytics platforms - Strong understanding of distributed systems and cloud-native architectures - Experience designing APIs and scalable services - Ability to independently drive projects from requirements through production deployment - Experience with LLMs, RAG systems, or AI agents - Experience building fraud, trust and safety, identity, security, or risk systems - Experience with feature engineering and large-scale data processing - Familiarity with detection engineering, SIEM, SOAR, or security analytics platforms - Experience deploying AI systems into production environments - Knowledge of authentication
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