Staff Machine Learning Engineer, Ads
Core
Designing and building large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement for Coupang's advertising platform.
Role type
Staff Machine Learning Engineer (Ads Quality)
Builds
Production ML systems for search ranking, semantic retrieval, query understanding, personalized product discovery, and ad quality optimization.
Domain
E-commerce advertising, real-time behavioral targeting, auctioning, and bidding systems.
Deliverable
production ML models
Required skills
Applied machine learning, deep learning, statistical modeling, Python, Java, production-grade ML systems, transformer-based models, contrastive learning, vector search, large language models (LLMs), embedding-based retrieval, multi-modal learning, Apache Spark, Airflow, Kubeflow, MLflow.
Preferred skills
Search systems, information retrieval, recommendation engines, cloud platforms (AWS, GCP), startup/high-growth environment experience, cross-functional leadership, modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM), ML lifecycle tools (Weights & Biases, SageMaker).
Technologies
Apache Spark, Airflow, Kubeflow, MLflow, TensorFlow, PyTorch, XGBoost, LightGBM, H2O.ai, AWS, Google Cloud Platform, Vertex AI, BigQuery, SageMaker, Weights & Biases.
Responsibilities
Design features and build large-scale ML models to improve ad targeting, relevance, ranking, and engagement; Design and implement ML systems for search ranking, semantic retrieval, and personalized product discovery; Drive innovation in search relevance and user intent modeling using LLMs and multi-modal learning; Build and optimize ML pipelines ensuring scalability and operational excellence; Define and track key performance metrics to evaluate model impact; Mentor and grow engineering talent.
Seniority
Staff, hands-on IC with mentorship responsibilities.
