Battery AI/ML Engineer

SES · Shanghai

Full-time1. Avatar: System DevelopmentGeneral$111,000–$150,000/yr

About the Battery AI ML Engineer role

Battery AI ML Engineer positions focus on delivering results in their domain. This page aggregates open Battery AI ML Engineer roles and what employers typically expect.

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

Salary estimate

$111,000 – $150,000/yr

Provided by the employer.

Skills for this role

Machine Learning

Resume tips for Battery AI ML Engineer applicants

Lead with measurable achievements relevant to Battery AI ML Engineer (numbers, scope, impact).
Mirror the exact keywords from the Battery AI ML Engineer posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Machine Learning).
Keep it to one page for early-career, two pages for senior Battery AI ML Engineer candidates.