Machine Learning Engineer Intern

About Moloco

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

The Impact You’ll Be Contributing to Moloco

We are seeking exceptional Machine Learning interns 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.

The Opportunity

We are looking for interns who can contribute to one of two tracks within our ML team — ML Modeling or ML Infrastructure — based on your strengths and interest.

• 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.
• ML Infrastructure: 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 internship is targeted for this summer term or earlier. We will primarily consider candidates who have no more than two semesters remaining until graduation at the start date of the internship, as well as recent graduates.