Machine Learning Algorithm Engineer -- Manufacturing Data

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 cell manufacturing-process data end to end.

\n

2. Develop machine-learning algorithms that reveal the drivers of quality and process performance.

\n

3. Work with process and manufacturing teams to embed models into day-to-day production.

\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. Willingness to learn cell design, manufacturing, and testing; strong communication and 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. 负责电芯制造全过程的数据清洗、建模与分析，挖掘生产数据价值。
\n
2. 开发机器学习算法，识别影响产品质量和制造工艺性能的关键因素，为工艺优化提供数据支持。
\n
3. 与工艺开发及生产制造团队紧密协作，推动算法模型在生产现场落地应用，持续提升生产效率和产品质量。
\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. 愿意深入学习电芯设计、制造工艺及测试相关知识，具备良好的沟通协作能力和较强的责任心。
\n

\n