Battery AI/ML Engineer

Shanghai, China · On-site · 1. Avatar: System Development

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About the role

Machine Learning

Battery AI/ML Engineer Responsibilities - Build a data-driven model of battery based on electrochemical knowledge and test data - Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP - Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction - Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization - Work with a team to develop, deploy, test and maintain battery algorithms - Write relevant technical documents Qualifications - Master's degree or above, machine learning, AI, and big data related education background - More than one year battery related working experience, understand battery data - Have a certain understanding of the traditional battery management system (BMS) algorithm model - Practical experience in AI and big data battery algorithm - Experience in battery physical model building (P2D model) and digital twin development is preferred