Battery AI/ML Engineer
TLDR
Develop and optimize battery algorithms through innovative state estimation and predictive analytics methods, contributing to advanced battery management systems.
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 state estimation algorithms, including but not limited to SOC, SOH, SOP
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Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction
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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
- Write relevant technical documents
Qualifications
- Master's degree or above, machine learning, AI, and big data related education background
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More than one year battery related working experience, understand battery data
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Have a certain understanding of the traditional battery management system (BMS) algorithm model
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Practical experience in AI and big data battery algorithm
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Experience in battery physical model building (P2D model) and digital twin development is preferred
SES builds innovative solutions in material discovery and advanced battery management, focusing on accelerating the global energy transition. Our primary customers range from energy companies to tech enterprises looking to enhance their battery technology with machine learning. What sets us apart is our commitment to integrating AI into battery R&D, streamlining the development process and improving efficiency.
- Founded
- Founded 2012
- Employees
- 51-200 employees
- Industry
- renewables & environment
- Funding stage
- Public
- Stock ticker
- Publicly traded (SES)
- Total raised
- $600M raised