1. Machine learning, deep learning, advanced sensors fusion algorithm development and product landing.
2. Based on specific use case, define and develop related core algorithms.
3. Hands-on development for the project with quality.
4. Document process and results during development, especially for the key milestones.
5. Feedback process or problems timely, discuss and find solutions with team.
职责描述:
1. 机器学习,深度学习,新型传感器的序列分析算法研发和产品落地。
2. 根据具体应用场景,研究并实现核心算法开发。
3. 高质量地完成项目开发任务。
4. 记录开发进程及阶段性成果,里程碑成果进行总结汇报。
5. 及时反馈开发进度及遇到的问题,与团队讨论并寻找解决方案,并记录。
1) Research and engineering work in general ML/DL algorithm, and time series analysis.
2) Prefer experience with python, pytorch, TensorFlow, sklearn, familiar with sequential model is a plus.
3) Master LSTM, feature engineering, GBDT, etc. Have certain experience in data processing and data analysis;
4) Majors in artificial intelligence, computer science, signal processing, electronics, applied mathematics, systemengineering, automatic control, etc., currently studying for a master's degree or above
5) Self-dependent, highly motivated, and problem-solving mentality.
6) English reading and writing capability are required.
7) Enroll as soon as possible and could stay for more than 6 months.
能力需求:
1. 有机器学习,深度学习,时间序列分析等项目经验
2. 优秀的编程和建模能力,熟悉python, pytorch, TensorFlow, sklearn, 熟悉运用序列模型为佳。
3. 熟悉LSTM,特征工程方法、GBDT等常用方法。对数据处理、数据规律分析具有一定经验;
4. 人工智能、计算机、信号处理、电子信息、应用数学、系统工程、自动控制等相关专业,在读硕士及以上学历
5. 独立,积极和主动解决问题的能力
6. 良好的英文读写能力
7. 能尽快入职,可实习6个月及以上的优先考虑
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