Machine Learning Engineer Intern (3-month Internship)

About the role

About Moloco:

Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.

Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product.

At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.

The Impact You’ll Be Contributing to Moloco:

- We are seeking exceptional Machine Learning intern to join us in building a state-of-the-art machine learning system. MOLOCO's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies.

- MOLOCO is an engineering company founded by software engineers, and machine learning is the core of MOLOCO's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers as seen here (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google https://cloud.google.com/customers/moloco/

The Opportunity:

- We are looking for interns who can contribute to ML Modeling: Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems, including model architecture design, feature engineering, and performance optimization.

- We are looking for interns who can contribute to ML Infra: Enhance the infrastructure that powers large-scale ML experimentation, training, and serving. This includes TPU/GPU-based model training, microservices for ML inference, scalable data pipelines (Spark / Apache Beam), and systems for ML data validation and monitoring.

How Do I Know if the Role is Right For Me?

- Major in Computer Science, Statistics or related fields.

- Strong mathematical skills in probability, statistics, and machine learning.

- Strong algorithms and data structure skills.

- Fluent with at least one programming language including Python, Java, and Golang.

- Fluent in speaking and writing both Korean and English

This is a full-time internship running from January 2027 to April 2027, based in Seoul. We are looking for candidates with two or fewer semesters remaining before graduation as of the internship start date, as well as recent graduates.