Jobs at Coupang

Design and deploy large-scale machine learning systems for offsite advertising, including targeting, ranking, prediction, bidding optimization, retrieval, and campaign performance. Apply deep learning, LLMs, embeddings, and agentic AI while building scalable ML infrastructure and production systems. Define success metrics, conduct experimentation, drive initiatives from concept to production, collaborate across functions, deliver measurable business impact, and mentor engineers.

Provides legal advice on corporate governance, SEC regulatory compliance, M&A transactions, credit facilities, subsidiary management, and corporate policies. Partners with cross-functional stakeholders to assess risks, negotiate agreements, develop repeatable processes, and support global operations. Requires strong corporate legal judgment, business acumen, communication skills, and the ability to work effectively in a fast-paced environment.

Design and implement scalable offline and online machine learning infrastructure for search and recommendation. Own data logging, processing, quality, model training, batch and real-time pipelines, and online inference services handling billions of records and petabytes of data. Partner with data scientists, analysts, product managers, and engineering teams while researching technical solutions and mentoring engineers.

Design and maintain enterprise AI security and risk frameworks aligned with global regulations and standards. Translate requirements into policy-as-code, security baselines, technical controls, and continuous monitoring logic. Assess AI-specific threats such as prompt injection, data leakage, model extraction, shadow AI, and supply-chain vulnerabilities. Partner with AI/ML, infrastructure, security, Legal, Privacy, and assurance teams to embed governance into architectures, CI/CD workflows, and runtime environments. Own AI policy lifecycle, privacy safeguards, model adoption decisions, and cross-border data requirements.

Build and operate Coupang's security infrastructure and IAM platforms. Design and implement backend APIs and scalable distributed systems, collaborate cross-team for platform adoption, ensure reliability and operational excellence, and mentor other engineers.

Leads cybersecurity and AI risk governance, control frameworks, enterprise risk registers, continuous monitoring, remediation workflows, and executive reporting. Partners with engineering, assurance, architecture, and AI GRC teams to improve risk visibility, harmonize standards, and strengthen accountability. Manages and mentors a Security GRC team while influencing senior stakeholders and risk owners. Requires deep cybersecurity governance expertise, experience with risk methodologies and control effectiveness, and familiarity with cloud, application security, and modern security controls.

Develop and operationalize continuous cybersecurity risk management, including data-driven risk models, telemetry, dashboards, risk registers, control governance, and residual risk monitoring. Translate technical security signals, vulnerabilities, and control performance into business risk insights. Partner with AI GRC, security engineering, architecture, assurance, and engineering teams to improve governance, automate monitoring, identify systemic weaknesses, and drive measurable risk reduction.

The Staff Technical Program Manager will lead company-wide programs from product definition to execution, focusing on platform and API technologies while driving collaboration across engineering teams to enhance customer experience.

Develop and deploy large-scale computer vision and machine learning models for Coupang’s search and product experiences. Responsibilities include experimentation, statistical analysis, scalable model development and serving, A/B testing, researching advanced vision techniques, presenting results to leadership, and mentoring engineers. The role requires applying deep learning, transformers, generative modeling, and other state-of-the-art approaches to user-facing products.

Leads the design and development of large-scale search and discovery relevance systems, including machine learning infrastructure, serving, pipelines, and AI products. Drives technical strategy, execution, operational excellence, and business impact while partnering with senior stakeholders. Explores deep learning and large language model innovations, improves search quality, resolves complex technical challenges, and recruits and develops high-performing engineering talent.

Develop and evaluate advertising auction and monetization models, revenue and inventory forecasts, product KPIs, and rigorous A/B testing programs. Analyze customer and advertising data to identify trends, explain test outcomes, optimize revenue, and guide product strategy. Communicate concise, compelling insights through fact-based reporting and presentations while supporting large-scale, user-facing advertising products.

Leads a global 20-person Data Science and Data Engineering organization within Search and Discovery. Oversees optimization of LLMs, ranking models, and personalization systems; leads experimentation and metrics synthesis; and partners with senior leaders to improve customer outcomes. The role requires deep expertise in statistics and machine learning, strong executive communication, and experience managing directors and global teams.

Leads FP&A strategy and operational finance for cloud and AI businesses. Partners with business and engineering leaders on investment decisions, resource allocation, cloud strategy, TCO, ROI, and build-versus-buy analysis. Oversees budgeting, forecasting, business reviews, financial modeling, cloud-cost analysis, reporting automation, dashboards, and executive insights. Translates technical metrics and complex datasets into actionable recommendations while improving forecast accuracy, financial processes, and operational performance.

Build and manage high-volume analytics and production ETL/ELT systems, ensuring reliable data ingestion, quality, observability, security, compliance, and scalable performance. Partner with Data Science, Engineering, and Product teams to support accurate Search data logging and usage. Define data-system SLAs, optimize cost and performance, and support massive datasets, experimentation, and machine-learning applications.

Designs and scales Coupang’s search and discovery backend services, resolving architectural constraints, performance bottlenecks, latency, and high-traffic availability challenges. The role develops customer-facing products, optimizes mission-critical APIs, applies distributed systems and systems programming expertise, and partners with product and design teams to improve user experiences.

Supports senior director-level executives through complex calendar and meeting management, international scheduling, travel and expense coordination, event planning, team communications, presentation support, and special projects. The role requires strong organization, discretion, independent judgment, prioritization, and communication across global teams and time zones. The assistant also coordinates executive activities, maintains shared resources, and streamlines administrative processes in a fast-paced technology environment.

This role involves designing and building scalable ML systems for search and recommendation, transforming user data, and optimizing ML pipelines. The position also includes mentoring engineers and collaborating with cross-functional teams.

The Senior Staff Backend Engineer will enhance cloud infrastructure reliability and efficiency, design scalable solutions, and oversee the deployment of cloud services, analyzing business problems to optimize performance and availability.

Lead design and implementation of a next-generation Resource Manager and AI developer tools. Build scalable, event-driven microservices, improve ML workflow orchestration, model management, and observability. Mentor engineers, drive architectural decisions, collaborate with product and compliance, and take end-to-end ownership for platform reliability, performance, and operations.

In this role, you will design and develop AI-native applications, managing the lifecycle of high-scale AI systems using LLMs and generative AI to enhance customer experiences.