Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points; Design and develop tools for monitoring the performance of machine learning models at scale; Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments; Design and develop reproducible ML Pipelines that help interpretability and trustworthiness of ML models; Embrace and champion engineering best practices within your group and beyond; Produce clean, high-quality code, tests, and written documentation
Requirements:
5+ years of non-internship professional software development experience; 5+ years of programming with at least one software programming language experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience as a mentor, tech lead or leading an engineering team; Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Text:
Sr. Machine Learning Engineer, Search Science & AI, Evaluation & Explainability Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points; Design and develop tools for monitoring the performance of machine learning models at scale; Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments; Design and develop reproducible ML Pipelines that help interpretability and trustworthiness of ML models; Embrace and champion engineering best practices within your group and beyond; Produce clean, high-quality code, tests, and written documentation 5+ years of non-internship professional software development experience; 5+ years of programming with at least one software programming language experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience as a mentor, tech lead or leading an engineering team; Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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