• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems. • Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. • Develop highly scalable model servers on cloud platforms. • Work with product, account, and infrastructure engineering teams to define future product roadmaps.

About the role 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. 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 (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/ What You Will Do • Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems. • Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. • Develop highly scalable model servers on cloud platforms. • Work with product, account, and infrastructure engineering teams to define future product roadmaps. Basic Qualification • 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.