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The posting is an opportunistic internal hiring opportunity for a Crawling Engineer at Coupang. The job description does not provide specific responsibilities, qualifications, technologies, or experience requirements. Candidates must complete the Internal Transfer Request Form and apply using their Coupang email address. The recruitment process includes application review, phone interview, onsite or virtual onsite interview, and offer.

Leads data science strategy, advanced model development, experimentation, and production deployment across business, product, and operational functions. Builds and manages high-performing data science teams, translates ambiguous business problems into scalable solutions, partners with engineering and product leaders, and advises executives. Establishes best practices for model validation, monitoring, reliability, and scientific rigor while driving measurable business impact.

The posting is an incomplete internal transfer request for a Director of Machine Learning Engineering at Coupang. It provides company background, benefits, recruitment process, legal notices, and placeholder compensation information, but does not specify role responsibilities, qualifications, or technical requirements.

Lead the architecture, scalability, automation, and reliability of Coupang’s petabyte-scale data platform. Build and manage high-volume ETL/ELT systems, enable reliable Search data usage, improve data quality and observability, optimize performance and costs, establish SLAs, ensure security and compliance, and mentor engineers while partnering with Data Science, Engineering, Product, and senior leadership.

Leads architecture, integration, deployment, and production support for full-stack autonomous robotics systems. Develops robotics infrastructure, control orchestration, ROS2 middleware, WMS integrations, simulation and validation workflows, monitoring, observability, and edge-compute pipelines. Troubleshoots hardware-software issues, defines system performance targets, contributes to technical roadmaps, and mentors engineers. Requires extensive industrial robotics experience and expertise integrating sensors, actuators, software, middleware, simulation, and hardware.

Design and build a unified Kubernetes-based application platform for hybrid, multi-cluster, multi-region, and multi-cloud environments. Develop controllers, operators, node daemons, automation, control planes, scaling systems, and failover capabilities that support millions of pods. Improve reliability, performance, cost, latency, security, governance, and observability through resilient multi-tenant systems, automated remediation, and SLO-driven controls. Partner with product leaders and customers to create reusable platform primitives and developer-friendly experiences.

Provides legal counsel for AI-powered products, reviewing technical specifications, assessing legal and regulatory risks, and guiding product development. Partners with engineering, product, security, privacy, and business teams to integrate legal requirements into product lifecycles. Leads company-wide AI reviews and helps establish scalable AI governance and product compliance processes. Requires a JD, at least seven years of legal experience, product counseling or AI governance experience, and knowledge of privacy, data governance, AI, and the EU AI Act.

Design and scale high-throughput data processing pipelines and real-time serving infrastructure for Coupang Ads. Build self-service data platform capabilities, translate advertising requirements into resilient distributed architectures, and lead large-scale data-serving projects. The role requires backend software development, scalable low-latency systems, AWS, Java, Spring, distributed systems, and advertising-serving expertise.

Own the data science function for a core Search and Discovery area. Analyze customer interactions, improve search experience and business performance, lead experimentation, build analytical datasets, and evaluate machine learning ranking models and LLMs. The role requires strong statistical and coding skills, experience with massive datasets, and the ability to communicate insights to cross-functional stakeholders and executives.

Develop advanced AI and machine learning systems for e-commerce, including optimization techniques for reasoning and token-completion models. Design and implement algorithms independently, apply large language and image models, run experiments, analyze results, and iterate rapidly. Projects may include computer vision for product enablement, model reasoning observability, and e-commerce-optimized model architectures. Collaborate across teams to deliver significant business impact through technology innovation.