Staff Machine Learning Engineer, Offsite Ads
Coupang · Mountain View, USA
About this role
**Staff Machine Learning Engineer — Offsite Ads (Coupang Media Group)** ## About Coupang We exist to wow our customers—building the future of commerce by disrupting the e-commerce industry from the ground up. Coupang combines startup speed with the resources of a large global public company, and you’ll see yourself, your team, and the company grow every day. ## Role Overview As a **Staff Machine Learning Engineer** for **Coupang Media Group (CMG), Offsite Ads**, you’ll define and build next-generation ML systems, optimization platforms, and AI-native advertising products that power Coupang’s rapidly growing offsite advertising business. Offsite Ads (launched in 2025) extends advertiser reach beyond Coupang-owned properties, enabling brands to engage customers across the broader internet using Coupang’s commerce signals, first-party audience assets, and shopper intent understanding. ## What You Will Do - Design and build ML models and systems to improve **ad targeting, ranking, bidding, and campaign performance** - Develop large-scale prediction and optimization models (e.g., **CTR, CVR, GMV, bidding optimization**) - Apply modern AI (e.g., **LLMs, embeddings, agentic AI, deep learning**) to solve complex advertising challenges - Build scalable ML infrastructure and production systems for rapid experimentation and reliable deployment - Define success metrics, evaluate business impact, and continuously improve model performance via data-driven experimentation - Partner with **Product, Engineering, Data Science, and business teams** to solve high-impact customer and advertiser problems - Drive projects from concept to production with strong ownership for business outcomes - Mentor engineers and help build a culture of technical excellence and continuous learning ## Basic Qualifications - Bachelor’s degree in **Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering**, or a related quantitative field - **6+ years** of industry experience developing and deploying ML solutions in production - Strong foundation in **machine learning, deep learning, statistical modeling, optimization, and large-scale data systems** - Hands-on experience building production-grade ML systems using **Python and/or Java** - Strong experience with **PyTorch** and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization - Proven ability to solve complex/ambiguous business problems through data-driven analysis and ML innovation - Track record of owning large technical initiatives and delivering measurable business impact ## Preferred Qualifications - Master’s degree or PhD in a related field - Experience in **digital advertising, recommendation/ranking systems, marketplace optimization, or large-scale ML** - Experience with modern AI technologies (e.g., **LLMs, generative AI, embeddings, retrieval, agentic AI**) - Strong expertise in **PyTorch** and large-scale production ML systems - Experience with **distributed training, model serving, and ML platforms** in cloud environments - Familiarity with tools/frameworks such as **PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, Airflow** - Ability to drive technical strategy and deliver measurable business impact in ambiguous settings - Strong communication and cross-functional collaboration skills - Comfortable operating in a fast-paced, high-growth environment with strong ownership and customer focus ## Pay & Benefits (Summa
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