{"schemaVersion":"jobsearcher.job.v1","id":"f17bf4cc5212720678745098","url":"https://jobsearcher.com/jobs/f17bf4cc5212720678745098","canonicalUrl":"https://jobsearcher.com/jobs/f17bf4cc5212720678745098","title":"Machine Learning Algorithm Engineer — Manufacturing Data","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.Responsibilities:1. Clean, model, and analyze cell manufacturing-process data end to end.2. Develop machine-learning algorithms that reveal the drivers of quality and process performance.3. Work with process and manufacturing teams to embed models into day-to-day production.Requirements:1. PhD in Computer Science or a closely related field.2. Strong programming in Python and MATLAB.3. Hands-on experience developing common machine-learning algorithms.4. Willingness to learn cell design, manufacturing, and testing; strong communication and ownership.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。本岗位工作地点位于中国厦门研发中心。岗位职责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。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。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。任职要求计算机科学或相关专业博士学历。熟练掌握 Python、MATLAB 等编程语言。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。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。","company":"Ampace Technology","rawCompany":"ampace technology","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:27:37.540Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"17-2112.03","title":"Manufacturing Engineers","slug":"manufacturing-engineers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"335910","title":"Battery Manufacturing","slug":"battery-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Algorithm Engineer — Manufacturing Data","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.Responsibilities:1. Clean, model, and analyze cell manufacturing-process data end to end.2. Develop machine-learning algorithms that reveal the drivers of quality and process performance.3. Work with process and manufacturing teams to embed models into day-to-day production.Requirements:1. PhD in Computer Science or a closely related field.2. Strong programming in Python and MATLAB.3. Hands-on experience developing common machine-learning algorithms.4. Willingness to learn cell design, manufacturing, and testing; strong communication and ownership.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。本岗位工作地点位于中国厦门研发中心。岗位职责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。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。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。任职要求计算机科学或相关专业博士学历。熟练掌握 Python、MATLAB 等编程语言。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。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。","datePosted":"2026-08-14T14:27:37.540Z","dateModified":"2026-08-14T14:27:37.540Z","hiringOrganization":{"@type":"Organization","name":"Ampace Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f17bf4cc5212720678745098"},"url":"https://jobsearcher.com/jobs/f17bf4cc5212720678745098"}}