Machine Learning Engineer Intern (3-month internship)

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. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! 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 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. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what