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SES

Battery AI/ML Engineer

Shanghai, China
Level
Mid

Not stated in the posting: salary, work type, visa.

Open. First seen 2 October 2026.

About the 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

What this role asks for

Standard for data science / ML roles

Machine Learning

Common in data science / ML postings at any company.

Compared with SES's other open jobs.

The team: 1. Avatar: System Development

This role is one of 7 open in 1. Avatar: System Development.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

C (3 of 7), Machine Learning (2 of 7)

OTHER ROLES ON THIS TEAM

From the team and dates on SES's own job board.

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