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The Staff Machine Learning Engineer for Autobidder will play a crucial role in developing forecasting algorithms that enhance the performance of the Autobidder platform, which automates participation in wholesale electricity markets for energy storage systems. This position involves researching, prototyping, and productionizing forecasts for electricity prices and other market outcomes, ensuring that improvements translate into increased trading revenues. The engineer will also be responsible for the performance, reliability, and availability of production systems, contributing to the growth of battery storage and renewable projects globally.