Machine Learning Algorithm Engineer

Job Description

Ampace (新能安) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Our R&D pairs advanced cell chemistry with semi-solid-state technology to deliver safe, high-performance batteries at scale. This position is based at our R&D center in Xiamen, China.

\n

\n

Responsibilities:

\n

1. Clean, model, and analyze data across cell design, manufacturing processes, and testing.

\n

2. Develop machine-learning algorithms that surface patterns and drive design and process decisions.

\n

3. Partner with cell-design, process, and test teams to translate models into engineering value.

\n

\n

Requirements:

\n

1. PhD in Computer Science or a closely related field.

\n

2. Strong programming in Python and MATLAB.

\n

3. Hands-on experience developing common machine-learning algorithms.

\n

4. Eagerness to learn battery design, manufacturing, and testing; strong communication and a real sense of ownership.

\n

\n

新能安（Ampace）是一家全球领先的电池科技企业，专注于锂离子电芯及电池系统的研发与制造，产品广泛应用于储能、数据中心及关键电源等领域。公司结合先进的电芯化学体系与半固态电池技术，致力于打造兼具高安全性、高性能和规模化生产能力的电池产品。

\n

本岗位工作地点位于中国厦门研发中心。

\n

\n

岗位职责

\n

\n
1. 负责电芯设计、生产制造及测试相关数据的清洗、建模与分析。
\n
2. 开发机器学习算法，挖掘数据规律，为电芯设计优化及制造工艺改进提供数据支持。
\n
3. 与电芯设计、工艺开发及测试团队紧密协作，推动算法模型在实际工程中的应用，实现数据价值转化。
\n

\n

\n

任职要求

\n

\n
1. 计算机科学或相关专业博士学历。
\n
2. 熟练掌握 Python、MATLAB 等编程语言。
\n
3. 具备机器学习算法开发经验，熟悉常见机器学习算法及其应用。
\n
4. 对电池设计、制造工艺及测试领域有浓厚兴趣，具备较强的学习能力、沟通协作能力和责任心。
\n

\n