[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Contemporary Amperex Technology jobs](https://jobs.opennash.com/companies/contemporary-amperex-technology/) · [Search jobs](/search/)

Contemporary Amperex Technology · 宁德市, 福建, 中国

# 强化学习与优化算法工程师

宁德市, 福建, 中国 

Listed on Contemporary Amperex Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/f062d29b-a2da-4d9c-bd0e-094309a87113)

[OpenNash Jobs](https://jobs.opennash.com/) / [Contemporary Amperex Technology](https://jobs.opennash.com/companies/contemporary-amperex-technology/) / 强化学习与优化算法工程师

## Job description

### 算法研发与落地
- 负责强化学习（RL）与优化算法的研发，支撑科学发现场景（如材料设计、化学配方筛选）的决策与生成任务；

### 黑盒优化与自动调参
- 开展复杂高维条件下的黑盒函数优化，构建并迭代多目标优化优化流程，设计高效的实验设计（DOE）与自动化闭环寻优系统。

### 复杂约束与空间搜索
- 针对海量材料组合或高维实验数据场景下，设计采样算法；

### 前沿技术融合
- 探索大语言模型或深度学习算法（如 Transformer 架构）与优化算法的结合，推动从非结构化文献中提取领域知识（物理法则、化学属性），并将其转化为优化引擎的先验约束。

### 岗位要求
- 硕士及以上学历，计算机、数学、统计学、计算化学/物理等相关专业优先，具备 1-2 年以上相关算法研发经验；
- 了解常见多目标优化算法及常见敏感度分析方法；
- 熟悉深度强化学习框架，了解基于 Transformer 架构的编码/解码模型在科学领域的应用原理；
- 熟练使用 Python 及 PyTorch 等主流深度学习框架；
- 优秀的数学功底，能独立阅读该领域的顶会论文并完成复杂算法的工程复现。
- 熟练使用且对主流优化/强化学习框架（如 Ax, BoTorch, SMAC3, LaMCTS 等）有二次开发、源码级修改或贡献经验优先；
- 具备新材料发现、电池电解液/配方优化等真实闭环实验室优化（Closed-loop optimization）落地经验者优先。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 宁德市, 福建, 中国[Apply on Contemporary Amperex Technology’s careers site →](https://app.mokahr.com/social-recruitment/catlhr/98098#/job/f062d29b-a2da-4d9c-bd0e-094309a87113)

## More jobs at Contemporary Amperex Technology

### [3D打印工艺工程师](https://jobs.opennash.com/companies/contemporary-amperex-technology/jobs/7077ba74674e96d1c8ed/)

宁德市, 福建, 中国

### [Abap开发工程师](https://jobs.opennash.com/companies/contemporary-amperex-technology/jobs/047ef7bfb704bb559954/)

宁德市, 福建, 中国

### [AI Agent 工业应用架构师](https://jobs.opennash.com/companies/contemporary-amperex-technology/jobs/c5816d7ebc11bb388396/)

宁德市, 福建, 中国

### [AI 研发应用工程师](https://jobs.opennash.com/companies/contemporary-amperex-technology/jobs/9458c2f0f19aae78089b/)

宁德市, 福建, 中国

### [AI+电力交易产品经理](https://jobs.opennash.com/companies/contemporary-amperex-technology/jobs/bf609840121008357122/)

宁德市, 福建, 中国

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)