S
46mo ago
Shanghai, China
Machine LearningAI
S
Salary not disclosed
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Role overview
Job description
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
About this listing
- Source: SES's official careers site · still listed there on 10 Nov 2026
- Posted 16 Jan 2023
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What they are looking for
Skills & requirements
Department · 1. Avatar: System Development
Hiring company
SES
About Us SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world’s most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in Boston and with operations in Singapore, Shanghai, and Seoul. Learn more at SES.AI.
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