Principal Engineer, ML
Coupang · Seattle, USA
About this role
**Principal Engineer, Ads Serving & ML Platform** **About the Role** Coupang is seeking a Principal Engineer to define and lead the technical vision for the Ads Serving & ML Platform—a critical business system powered by large-scale machine learning and AI. You will own the architecture and technical strategy of the end-to-end ads serving ecosystem, spanning retrieval, ranking, auction, targeting, ML infrastructure, and online serving systems. **What You Will Do** • Define and drive long-term technical vision, architecture, and strategy for the Ads Serving & ML Platform • Lead design and evolution of large-scale ad serving systems (retrieval, ranking, auction, targeting, pacing, measurement) • Drive platform modernization with emerging technologies (LLMs, generative AI, real-time inference, next-gen ML infrastructure) • Identify and lead strategic technical investments improving advertiser outcomes, customer experience, scalability, and efficiency • Partner across engineering, ML, product, and business teams to align technical direction with company priorities • Influence architecture and engineering excellence through technical leadership, design reviews, and mentorship • Establish best practices for reliability, performance, scalability, observability, and operational excellence • Drive measurable business impact through innovations in engagement, conversion, relevance, advertiser ROI, and cost efficiency **Required Qualifications** • 12+ years building large-scale software platforms, ML systems, or distributed infrastructure • Proven track record architecting mission-critical, high-throughput online systems at internet scale • Deep expertise in user-facing ML domains (advertising, search, recommendations, personalization) • Strong understanding of modern ML systems (training, feature engineering, experimentation, online inference, production ops) • Experience building and scaling AI/ML serving infrastructure (GPU/CPU optimization for latency, throughput, cost) • Deep knowledge of LLMs, foundation models, RAG, and production AI serving architectures • Expertise in retrieval and ranking systems (relevance, personalization, candidate generation, latency/cost trade-offs) • Demonstrated ability to drive significant business impact through technical innovation • Exceptional ability to influence technical direction across multiple teams without direct authority • Strong software engineering skills in Java, C++, or Python • Experience with distributed systems processing large-scale datasets with high availability and low latency • MS or above in Computer Science, Engineering, or related technical discipline **Preferred Qualifications** • Experience building large-scale advertising platforms, ad ranking, auction systems, or sponsored search • Background in e-commerce, marketplaces, or consumer internet at significant scale • Expertise in real-time ML, recommendation systems, search infrastructure, or large-scale personalization • Proven contributions to architectural transformations or platform modernization • Passion for emerging technologies and translating innovation into business value • Experience in high-growth, fast-scaling tech companies • PhD in Computer Science, Machine Learning, AI, or related fields **Compensation** Base pay: $207,900–$386,100/year (varies by geographic market) **Benefits** Medical/Dental/Vision/Life/AD&D • FSA & HSA • Long-term/Short-term Disability • EAP • 401K with Company Match • 18-21 PTO days/year • 12
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