Senior Staff Ranking Engineer, Personalization
Core
Building scalable offline and online ML platforms to support ranking, recommendation, and search discovery for millions of Coupang customers.
Role type
Senior Staff IC machine learning engineer (search & ranking)
Builds
Large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using transformer-based models, contrastive learning, and vector search.
Domain
E-commerce, search, and recommendation systems
Deliverable
production ML models
Required skills
Python, Java, deep learning, statistical modeling, building production-grade ML systems, LLMs, embedding-based retrieval, multi-modal learning
Preferred skills
Search systems, information retrieval, recommendation engines, cloud platforms (AWS, GCP), startup/high-growth environment experience, leading cross-functional teams, modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM), ML lifecycle tools (MLflow, Kubeflow, SageMaker)
Technologies
Apache Spark, Airflow, Kubeflow, MLflow, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, H2O.ai, AWS, Google Cloud Platform, Vertex AI, BigQuery, SageMaker
Responsibilities
Design features and build large-scale ML models and systems to improve ad targeting, relevance, ranking, and engagement; Drive innovation in search relevance and user intent modeling using LLMs and multi-modal learning; Build and optimize ML pipelines ensuring reproducibility and scalability; Define and track key performance metrics to evaluate model impact; Collaborate cross-functionally with product, engineering, and data science teams; Mentor and grow engineering talent.
Seniority
Senior Staff, hands-on IC with mentorship responsibilities
