What is a Machine Learning Engineer at Moloco?
A Machine Learning Engineer at Moloco is responsible for building, scaling, and optimizing the state-of-the-art machine learning models that power the company's core engine. Moloco operates in the highly competitive ad-tech and retail media space, where real-time bidding (RTB), recommendation systems, and click-through rate (CTR) predictions must occur in milliseconds. Because Moloco processes billions of ad requests daily, the work of an ML engineer directly impacts the efficiency, latency, and revenue performance of global mobile advertising campaigns.
In this role, you will bridge the gap between advanced machine learning research and robust software engineering. Unlike traditional data science roles that focus solely on model prototyping, a Machine Learning Engineer here must write highly optimized, production-grade code. You will build and deploy models that handle massive scale, meaning you must be deeply familiar with distributed systems, high-throughput pipelines, and low-latency serving infrastructure.
The problems you will solve are technically demanding and highly rewarding. You will work on optimizing deep learning models for sparse data, building sophisticated multi-task learning frameworks, and designing infrastructure that can dynamically adapt to shifting user behaviors. It is an environment built for engineers who thrive on technical rigor, deep statistical analysis, and high-performance computing.



