Secondmind careers

Our proprietary machine learning models develop a deep knowledge of the target system, capturing complex interdependencies of up to 50 input and output parameters simultaneously with data sets of any size. The technology also handles the kinds of real-world experimental noise and physical tolerances that are common to automotive engineering tasks, all while providing insights to the user to inform the design process. We are working with global automotive innovators like Mazda in Japan.