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Factorial Energy

Senior Battery Data Scientist

Factorial Energy正在寻找一位高级电池数据科学家,工作地点在马萨诸塞州比勒里卡。在这个角色中,您将领导电池性能的统计和机器学习模型的开发。享受包括医疗保险和401(k)计划在内的竞争性福利。
Factorial Energy
Factorial Energy
比勒里卡,马萨诸塞州,美国   现场   全职  UTC-05:00   101-250   24 天前

Factorial Energy

公司概况

Factorial Energy

美国马萨诸塞州沃本

2019

商业模式

能源

开发固态电池技术

电池销售与技术授权

地点与地理

美国、德国、日本、韩国、加拿大

公司文化

他们的使命是推动可持续能源的未来,致力于开发安全、高效的电池技术。

他们提供一个创新和协作的工作环境,鼓励员工提出新想法。

他们重视员工的职业发展,提供培训和成长机会。

活动与项目

正在开发新一代固态电池,旨在提高电池的能量密度和安全性。

他们的固态电池技术在行业内被认为是具有颠覆性的创新。

他们致力于使用可再生材料和减少生产过程中的碳足迹。

职业机会

工程师、研究科学家、产品经理等职位。

提供竞争力的薪资、健康保险和灵活的工作时间。

联系信息

LinkedIn

Factorial Energy的职业机会


最后更新于 2025-03-24 | 报告问题

Job Description

Factorial Energy is a dynamic venture-backed company dedicated to creating a sustainable future. With a passionate team of engineers and business professionals, Factorial is developing breakthrough solid-state battery technology to enable safe, scalable, and high-performance cells for electric vehicles. Operating out of its research and development facility in the Greater Boston Area. Factorial holds a portfolio of solid-state innovations, including its segment-leading FEST® (Factorial Electrolyte System Technology). The company entered joint development agreements with Mercedes-Benz, Stellantis, and Hyundai Motor company and was recently featured in The Boston Globe and The New York Times.

The Opportunity

Factorial Energy is seeking a Senior Battery Data Scientist to join our team in our Billerica location. This person will be responsible for leading the development and implementation of battery performances.

In this role, you will

  • Development and Implementation of state of the art statistical and machine learning models for cell failure detection
  • Development and implementation of early prediction of battery cycle life using Bayesian Optimization and machine learning models
  • Lead the analytical direction toward understanding battery performance and degradation
  • Research and development of multivariate models for prognostics applications, predictive maintenance
  • Support and work with cross functional team to design experimental plans to identify and quantify key model parameters, and improve cell performance by understanding physical meaning correlated with simulation and experiment

We are looking for people who

  • MS or PhD degree in Computer Science, Electrical Engineering, Chemical Engineering, Applied Math, Applied Physics or related area
  • 2+ years experience in implementation of statistical/machine learning method
  • Strong knowledge in the data-driven predictive model development with application in the energy storage systems
  • Preferred to have fundamental knowledge of electrochemistry, experience in lithium metal batteries highly preferred
  • Experience with HPC/cloud computing
  • Experience in writing efficient codes to analyze large data sets using Python/C/C++
  • Experience with AI/ML codes and techniques Tensorflow/PyTorch/Bayesian Optimization

Some of our competitive benefits include

  • Medical, dental, and vision insurance
  • Generous paid time off
  • 401(k) plan that includes employer matching funds
  • Education assistance plan
  • Short-term and long-term disability coverage

Work Location

805 Middlesex Turnpike, Billerica, MA 01821

Factorial Energy is an equal opportunity employer that values diversity at all levels. All qualified applicants, regardless of personal characteristics, are encouraged to apply.

To request a reasonable accommodation to complete an application, job interview, and/or to otherwise participate in the hiring process, please contact [email protected]

关于这个角色

2024年12月26日

全职

公司

Factorial Energy

2025年3月26日

现场

factorialenergy.com

  •  比勒里卡,马萨诸塞州,美国

2+ years

UTC-05:00

立即申请

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