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United States · New York, NY, USA

Developer of a meta machine learning platform designed to build reliable machine learning models for real-world applications. The company's platform optimizes models with bayesian hyperparameter optimization, a type of algorithm which saves time typically spent on manual tuning ML models, enabling data scientists to automatically track their datasets, code changes, experimentation history and production models.

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