Machine Learning Engineer (머신러닝 엔지니어)
Location: Seoul, Korea · Category: Data, AI & Analytics · Seniority: Mid-Level · Posted: August 21, 2026 · Verified: Oct 2, 2026
Role Overview & Description
About the company
Moloco
moloco.comMachine learning adtech for performance, retail media and CTV monetisation.
Similar Positions in DACH
Related roles across advertising, media, and data
Develops and deploys machine learning models on the AI platform, focusing on scalability and performance. Requires expertise in ML frameworks, model training, and deployment.
Builds and maintains the infrastructure and pipelines for deploying and scaling machine learning models in production. Collaborates with data scientists to optimize model performance and reliability.
Machine learning engineer developing and deploying models for Xumo's advertising platform, focusing on prediction and optimization algorithms. Core challenges include improving model accuracy, reducing latency in real-time bidding, and ensuring responsible data use.
More Positions at Moloco
3 more open roles
Drives growth analytics for Moloco's advertising platform, using data science to optimize user acquisition and monetization. Analyzes large datasets, builds predictive models, and designs experiments to inform business decisions.
This staff-level role designs and builds scalable backend systems for Moloco's ad-tech platform. The engineer leads technical initiatives, mentors other engineers, and ensures high performance and reliability of core services.
This is a 3-month software engineering internship at Moloco, providing hands-on experience in building and maintaining software systems for the ad-tech platform. The intern will work on real projects and gain exposure to scalable backend systems.
