{"schemaVersion":"jobsearcher.job.v1","id":"6efabb18eab7af65bde9933b","url":"https://jobsearcher.com/jobs/6efabb18eab7af65bde9933b","canonicalUrl":"https://jobsearcher.com/jobs/6efabb18eab7af65bde9933b","title":"Machine Learning Algorithm Engineer","description":"Job DescriptionAmpace (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:Clean, model, and analyze data across cell design, manufacturing processes, and testing.Develop machine-learning algorithms that surface patterns and drive design and process decisions.Partner with cell-design, process, and test teams to translate models into engineering value.Requirements:PhD in Computer Science or a closely related field.Strong programming in Python and MATLAB.Hands-on experience developing common machine-learning algorithms.Eagerness to learn battery design, manufacturing, and testing; strong communication and a real sense of 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。岗位职责负责电芯设计、生产制造及测试相关数据的清洗、建模与分析。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。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。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。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。","company":"Ampace","rawCompany":"ampace","city":"United","state":"LA","isRemote":false,"isActive":false,"createdAt":"2026-09-30T11:27:38.431Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"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":"335910","title":"Battery Manufacturing","slug":"battery-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Algorithm Engineer","description":"Job DescriptionAmpace (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:Clean, model, and analyze data across cell design, manufacturing processes, and testing.Develop machine-learning algorithms that surface patterns and drive design and process decisions.Partner with cell-design, process, and test teams to translate models into engineering value.Requirements:PhD in Computer Science or a closely related field.Strong programming in Python and MATLAB.Hands-on experience developing common machine-learning algorithms.Eagerness to learn battery design, manufacturing, and testing; strong communication and a real sense of 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。岗位职责负责电芯设计、生产制造及测试相关数据的清洗、建模与分析。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。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。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。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。","datePosted":"2026-09-30T11:27:38.431Z","dateModified":"2026-09-30T11:27:38.431Z","hiringOrganization":{"@type":"Organization","name":"Ampace","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6efabb18eab7af65bde9933b"},"url":"https://jobsearcher.com/jobs/6efabb18eab7af65bde9933b"}}