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
Requirements:
MS or Ph.D. degree in Computer Science or related technical field; 7+ years of 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
Text:
Staff Machine Learning Engineer 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 MS or Ph.D. degree in Computer Science or related technical field; 7+ years of 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
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