Senior Battery AI/ML Engineer

SES AI Corporation is an advanced battery technology company headquartered in Boston, Massachusetts, focused on developing lithium-metal (Li-Metal) and lithium-ion (Li-ion) battery solutions for electric transportation and energy storage applications. The company operates three core business units: Drones, which supplies high-energy and high-power density NDAA-compliant cells for drones, urban air mobility, and robotics; ESS (Energy Storage Systems), which provides integrated hardware and software solutions for data centers and commercial and industrial customers; and Materials, which leverages AI-driven discovery to supply next-generation battery materials. Central to its operations is the Molecular Universe platform, an AI-for-Science SaaS platform that powers material discovery, battery management, and workflow automation across all business units.

Senior Battery AI/ML Engineer

 

Responsibilities

• Build a data-driven model of battery based on electrochemical knowledge and test data

• Develop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation

• 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

• Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc

• Responsible for the overall framework design of battery algorithm deployment

 

Qualifications

• Master degree or above, machine learning, AI, and big data related education background

• More than five years of battery related work experience, familiar with battery pack design and data

• Familiar with various battery related models/algorithms

• Experience in battery management system (BMS) algorithm development

• Practical experience based on AI, big data battery algorithm, and cloud BMS