Machine Learning Engineer

About Coupang Play 

Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports. 

We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood”, “Anna”, and “SNL Korea”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers. 

To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX. 

We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers. 

Role Overview 

As a Staff Machine Learning Engineer at Coupang Play, you will help shape the content discovery experience across our growing catalog of streaming video-on-demand titles, live events, and transactional video content.

You will lead the architecture, development, and evolution of large-scale search, retrieval, ranking, recommendation, and personalization systems that connect users with the most relevant content. Working closely with Machine Learning Scientists, Product Managers, and Engineering teams, you will build scalable, data-driven solutions that leverage user behavior, content understanding, and modern machine learning techniques to improve relevance, engagement, and overall customer experience.

What You Will Do 

• Own the architecture, development, and evolution of large-scale search, retrieval, ranking, recommendation, and personalization platforms.
• Build content discovery solutions that help users find relevant content through search, recommendations, and personalized experiences.
• Develop machine learning-driven systems that model user intent, content relationships, and user preferences to improve relevance and engagement.
• Design, build, and operate scalable, low-latency online serving infrastructure for real-time retrieval, ranking, and recommendation workloads.