Battery AI/ML Engineer

Shanghai, China Until 8/21/2026 First posted March 26, 2025 Last posted March 26, 2025
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 role

Summary

Develop battery models, algorithms, and solutions for battery management systems.

Job title

Battery AI/ML Engineer

Experience level

more than 1 year

Industry

automotive

Location requirements

Shanghai, China; on-site work only

Salary

Not specified

Management role

No

Skills & keywords

Required skills

machine learningAIbig databattery databattery models

Preferred skills

battery physical modelsdigital twin

Specializations

AIMLbattery modelingdata analysisdigital twin
Locations

Structured locations inferred from the posting.

Shanghai, China

On-site City