Staff Machine Learning Engineer, Ads Growth

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 entrepreneurial 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.  

What You Will do:

• Work with product team, sales team, and other stakeholders to formulate the business problems into machine learning and data analysis projects.
• Design features and build large-scale machine learning models and systems.
• Perform statistical analyses to improve advertiser benefit and our ads revenue.
• Find new opportunities to expand our ads business to new customers/products with data and machine learning model supports.
• Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team.
• Solve ambiguity and act as consultant in ML model related problems across team.
• Mentor the junior team members.

Basic Qualifications:

• Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent.
• 4+ years (for Ph.D.) or 6+ years (for other degrees) of industry experience working with large-scale, complex datasets to create and optimize machine learning models.
• Strong problem-solving skills. Track record of diving into data to discover hidden patterns and solving problems with data science, launching successful features and improving business metrics.
• Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them.
• Strong ownership and ability to lead project end to end; Good communicator, both to technical and business audiences.
• Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.

Preferred Qualifications:

• Ph.D. in quantitative fields is strongly preferred.
• 3+ year experience with advertising or ecommerce industry.