Hybrid Staff Ranking Engineer, S&D Personalization presso Coupang

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Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.  

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. 

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 

• Root causes the bottle neck of the current search and recommendation systems and quantifies the defects.  
• Propose solutions which address the search and discovery defects and leverage the state-of-the-art technologies, including ML, DL and large language model. 
• Implement the solutions and conduct AB tests. 
• Be a thought leader and able to gain consensus in the organization when needed. 

• We use Deep Learning-based conversion prediction model to predict the conversion rate given a query-item pair. Personalization is an important component for conversion prediction. 
• We use two tower models for learning query/item embeddings and use ANN for candidate retrieval. 
• We use BERT-based model to retrieve products, classify queries and extract entities from queries and products’ titles (Named Entity Recognition) 
• We use neural networks to evaluate the relevance of query-item pairs and train such models with millions of human labeled datasets. 
• We use graph algorithms to explore the latent relationships between queries and documents. 

• 5+ years of experience in related fields including Search, Information Retrieval, RecSys, ML, DL or NLP. 
• Proficient coding skills in Java, C++ or Python 
• Problem solver, Pragmatic and Open-minded 
• Bachelors or Master Degree in Computer Science or related fields. 
• Experience with handling large data volumes in a distributed environment  

• Love to explore new territory of technology and go deep on domain knowledge.  
• Ability to think outside-the-box and challenge conventional wisdoms.  
• A passion to explore, improve, automate and optimize distributed systems and tools.  
• PhD in Computer Science or related Engineering majors  
• Bonus points for experience at ecommerce or social network or search companies 
• Bonus points for large language models and generative AI 

Job ID: R0060735