Battery AI/ML Engineer

On-siteMidML Engineerposted 4mo ago

✦Role summaryAI-generated

This role focuses on developing advanced AI/ML models for battery performance optimization, blending electrochemical expertise with predictive algorithms to enhance state estimation, safety, and lifecycle management. The engineer will collaborate cross-functionally to deploy and refine battery algorithms in real-world applications.

Skills required

Electrochemical modeling State estimation (soc Soh Sop)Battery degradation prediction Battery management systems Algorithm deployment Time-series forecasting Python Data-driven optimization AI Machine learning

About this role

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