Principal, Machine Learning Engineer

About the role

Principal, Machine Learning Engineer - Search

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.

About the Role

As a Principal Machine Learning Engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang’s product search and discovery quality. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

What You Will Do

- 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.

Some example projects include:

- Personalization ranking model and its integration to Search ranking stack.

- Personalized retrieval

- Recommendation model for all Discovery interfaces.

- User understanding and modeling

What We’re Looking For

Required Qualifications

- 10+ 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

- Master Degree in Computer Science or related fields.