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Company Introduction
Team Overview
The Recommendations team optimizes the customer product discovery experience to drive long-term growth. As millions of shoppers encounter recommendations across every screen daily, these interactions account for over half of Coupang’s total sales alongside search, serving as a primary engine for key business initiatives. We focus on enhancing recommendation quality while providing our ranking systems as a platform for stakeholder teams company-wide. By leveraging state-of-the-art AI/ML technologies and building highly scalable systems, we aim to provide a "wow" discovery experience that anticipates customer needs even before they are explicitly expressed.
About the Role
As a Sr. Staff Machine Learning Engineer, you will drive the design, development, and evolution of our end-to-end recommendation systems, placing AI/ML innovation at the core of our recommendation quality. This role encompasses the full lifecycle of recommendations from architecting sophisticated ranking, retrieval, and relevance models to scaling the robust systems that power Coupang’s recommendations. You will partner with global cross-functional teams to own the customer discovery journey, continuously elevating the user experience through rigorous experimentation and the deployment of high-impact algorithms. If you are passionate about leveraging massive, real-time datasets and millions of customer interactions to drive tangible business and customer impact, and you want to solve genuine customer challenges through innovative AI/ML technology, this role is a perfect match for you.
Key Responsibilities
- Strongly own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly.
- Collaborate tightly with multiple global teams across the company to co-build a world class recommendation system
- Mine vast amount of data to gain insights from customer behavior
- Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms
- Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models
- Mentor and grow engineers across the teams.
Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or closely related fields.
- Proven ability to derive actionable insights from complex datasets and solve business-critical problems using advanced AI/ML technologies.
- Demonstrated experience as a company-wide technical leader, driving cross-functional collaboration to deliver large-scale, high-impact solutions.
- 8+ years of professional experience in applied AI/ML with large-scale, complex datasets to extract robust features and create reliable machine learning models.
- Fast paced self-learner with proven track record of launching successful algorithms that drive measurable business impact.
- Professional proficiency in Python and/or Java with relevant industry experience.
- Excellent communication skills with professional proficiency in English.
Preferred Qualifications
- Ph.D. or Master degree inComputer Science, Electrical Engineering, Mathematics, Statistics or related science majors
- Experience with Recommendation or Search Systems
- Experience with LLMs, PLMs, and embedding models
- Experience with cloud platforms such as AWS, GCP including services like Vertex AI
- Industrial experience working with online serving system working at scale
- Excellent communicator with great listening skills, growth mindset and can-do attitude
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary accordin
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