Coupang is looking for a Director of Search Retrieval to own and drive Coupang’s strategy and execution for its core search ranking efforts. This role is a key addition to Coupang’s Search and Discovery leadership team in building and leading Coupang’s eCommerce Search and Discovery strategy and technology team into a world-class, cohesive, and innovative product search and discovery engine.
The Director of Search is responsible for technology across the search stack and will drive projects related to conversion prediction and other ranking components across the stack (i.e. in L1, L2, and L3 rankers), will identify and drive efforts related to novel retrieval sources, and will lead the team to explore green field opportunities based on Generative AI / LLMs. The scope is company-wide, with this team affecting results shown to every customer searching for products on Coupang, and this represents a unique opportunity to have scope this broad and flexible. This involves solving complex indexing, infrastructure, ranking, and modeling problems. You will hire key talent to innovate in the search space in order to Wow our Customers.
- Define the long term strategy and vision of the Search platform and oversee the design in conjunction with the engineering team
- Recruit and coach individual contributors and managers across the search org and develop that talent to create a world class engineering team
- Manage and execute against project plans and deliver commitments
- Work closely with the senior management team to ensure that development plans, resources, and strategies are coordinated across all departments in a cohesive and collaborative fashion
- Lead your team to develop new Machine Learning models and features, applying rigorous offline and online testing methodology
- Be responsible for the production system running those models
- Work with the team to mine data from logs to gain insights from customer behavior
- 10+ years experience working with large-scale, complex datasets to create and optimize machine learning models
- 3+ years management experience
- Master's degree in Computer Science, Mathematics, or related science majors, Ph.D. strongly preferred
- Track record of diving into data to discover hidden patterns and solving problems with data science
- Fast paced self-learner with proven record of launching successful features and improving business metrics
- Understand production environment, continuous build, monitoring and alerting and able to dive deep to debug and resolve usual production issues
- Practical understanding and hands-on experience with supervised learning methods (linear and logistic regression, generalized linear models, decision trees, random forests, support vector machines, neural networks / deep learning, etc.) and unsupervised learning methods (K-means, hierarchical clustering)
- Hands on experience either directly training and applying Generative AI models / LLMs or working closely with your engineering team to do so
