Machine Learning Engineering (Tech Lead)

[ The Impact You’ll Be Contributing to Moloco ] We seek an exceptional machine learning engineer(tech lead) to join Moloco’s Machine Learning team working on our Moloco Ads, Commerce Media, and Streaming Monetization platform to leverage the same state-of-the-art technology stack that Moloco uses to drive our ML-powered performance ads business. 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 ] • Build, grow, and lead a machine learning team across the Moloco platform technology stack. • 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. [ How Do I Know if the Role is Right For Me? ] • Ph.D. degree in Computer Science or related technical field. • 7+ years of software development experience in Machine Learning, Deep Learning related areas. • Exceptional level of communication, coordination, Machine Learning development, and development-team management skills. • Experience mentoring and leading Senior, Mid, and Junior MLEs. • Fluent in 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. • Fluent in speaking and writing English. [ Preferred Qualifications ] • Relevant experience in AdTech