Responsibilities: 1. Research and engineer work in general ML/DL algorithm, data augmentation, time series classification, dataanalysis and visualization。 2. Research review and implement of state-of-the-art time series analysis/machine learning algorithms to solvespecific challenges. 3. Write efficient, clean, and well-documented code, including comprehensive code comments. 4. Fulfill the project goals on timing and quality. 5. Document process and results during development, especially for the key milestones. 6. Feedback process or problems timely, discuss and find solutions with team. 7. Support work for other members in the group. Requirements: 1. Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Machine Learning, or a relatedfield. 2. Experiences with machine learning, deep learning, time series analysis. 3. Strong programming skills in languages such as Python, or C++. 4. Solid understanding of machine learning and deep learning concepts and algorithms. 5. Experience with popular machine learning frameworks (e.g., TensorFlow, PyTorch). 6. Excellent self-dependent, problem-solving, and analytical skills. 7. English reading and writing capability are required. 8. Enroll as soon as possible and could stay for more than 6 months. 职责描述： 1. 机器学习，深度学习，数据增强，时序信号分类，数据分析与可视化等相关的研究开发工作。 2. 调研并实施最先进的时序信号分析/机器学习/数据增强算法以解决特定挑战。 3. 编写高效、清晰且有良好文档注释的代码。 4. 规划任务进度，并能按计划逐步完成工作。 5. 记录工作进程及阶段性成果，里程碑结果进行总结汇报。 6. 及时反馈工作进度及遇到的问题，与团队讨论并寻找解决方案并记录。 7. 支撑组内其他人员的配合工作。 能力需求： 1. 目前正在攻读计算机科学、机器学习或相关领域的学士、硕士或博士学位。 2. 有机器学习，深度学习，时间序列分析等项目经验 3. 熟练使用 Python或 C++ 等编程语言。 4. 对机器学习、深度学习概念和算法有扎实的理解。 5. 具有流行的机器学习框架（例如 TensorFlow、PyTorch）经验。 6. 独立，积极，主动解决问题和分析问题的能力。 7. 良好的英文读写能力 8. 每周至少能在公司工作四天以上，能持续实习六个月以上