Role Overview: The Search & Discovery organization at Coupang is responsible for optimizing the customer’s navigation experience and driving long‑term growth. Millions of customers use search in our app or on coupang.com each week, and more than one third of them make purchases. More than half of Coupang’s sales are directly attributed to search and recommendations. This role offers an opportunity to build scalable offline and online ML platforms to support ranking, recommendations, and business decision making. You will handle billions of records of user interaction data and petabytes of raw log files, transforming them into data objects that engineers and scientists can consume. You will also serve complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you will make a real business impact.
What You Will Do: - Design features and build large‑scale ML models and systems to improve ad targeting, relevance, ranking, and engagement. - Design and implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using transformer‑based models, contrastive learning, and vector search. - Drive innovation in search relevance and user intent modeling using large language models, embedding‑based retrieval, and multi‑modal learning. - Build and optimize ML pipelines with Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence. - Define and track key performan
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Based on: Staff Machine Learning Engineer, Personalization
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Role Overview: The Search & Discovery organization at Coupang is responsible for optimizing the customer’s navigation experience and driving long‑term growth. Millions of customers use search in our app or on coupang.com each week, and more than one third of them make purchases. More than half of Coupang’s sales are directly attributed to search and recommendations. This role offers an opportunity to build scalable offline and online ML platforms to support ranking, recommendations, and business decision making. You will handle billions of records of user interaction data and petabytes of raw log files, transforming them into data objects that engineers and scientists can consume. You will also serve complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you will make a real business impact.
What You Will Do: - Design features and build large‑scale ML models and systems to improve ad targeting, relevance, ranking, and engagement. - Design and implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using transformer‑based models, contrastive learning, and vector search. - Drive innovation in search relevance and user intent modeling using large language models, embedding‑based retrieval, and multi‑modal learning. - Build and optimize ML pipelines with Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence. - Define and track key performan
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Based on: Staff Machine Learning Engineer, Personalization
Насколько эта вакансия подходит вашему резюме
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