We seek exceptional machine learning engineers 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.

• Develop and iterate on deep learning models for real-world prediction problems including CTR/CVR estimation and ranking, with guidance on modeling choices and objective function design. • Build and maintain data pipelines for model training and serving using GCP products such as Dataflow, BigQuery, BigTable, and open-source frameworks such as Apache Beam, PySpark and Iceberg. • Support production model serving, monitor model behavior in live environments, and contribute to debugging and improving model quality. • Design and run offline experiments — define evaluation metrics, test hypotheses, and document findings to contribute to team-level modeling decisions. • Collaborate with fellow Machine Learning Engineers, Applied Scientists, and Infrastructure engineers to deliver projects end-to-end within defined scopes. • Grow your understanding of Moloco's AdTech domain — including auction mechanics, bidding systems, and advertising outcome modeling — and apply that context to your work.

• MS or Ph.D. degree in Computer Science or related technical field • Software development experiences in Machine Learning, Deep Learning related areas • Fluent with one or more programming languages including Python, Java, and Golang. • Knowledgeable with production-level machine learning applications including natural language processing, computer vision, recommendation systems, and ranking systems. • Experience in building a highly scalable model or online service system.

• For more details, please refer to the company website.