Senior Battery AI/ML Engineer
AI Summary
Senior Battery AI/ML Engineer at SES in Shanghai. Builds data-driven battery models from electrochemistry and test data, develops BMS algorithms (state/behavior estimation, charging/ discharge/cycle life optimization), and deploys/maintains battery algorithms with cross-functional teams.
About this role
Senior Battery AI/ML Engineer
Responsibilities
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Build a data-driven model of battery based on electrochemical knowledge and test data
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Develop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation
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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
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Work with a team to develop, deploy, test and maintain battery algorithms
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Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc
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Responsible for the overall framework design of battery algorithm deployment
Qualifications
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Master degree or above, machine learning, AI, and big data related education background
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More than five years of battery related work experience, familiar with battery pack design and data
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Familiar with various battery related models/algorithms
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Experience in battery management system (BMS) algorithm development
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Practical experience based on AI, big data battery algorithm, and cloud BMS
Skills
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