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Battery AI/ML Engineer

Ses · Shanghai, China

Weak hiring record · median 134 days open

3737

Hiring signal

Stale

Open 133 days · How we score

All reasons
  • Open 133 days
  • 93% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Battery AI/ML Engineer at Ses. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

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