Required Skills

• A master's degree or above in computer science or related fields from a prestigious university, graduating before July 2026.
  
  

知名高校计算机相关专业硕士以上学历，2026 年 7 月之前毕业。

• Excellent programming skills, proficient in Pytorch/Tensorflow, capable of rapidly developing and implementing various cutting-edge deep learning models based on one of the frameworks. Improving and tunning models with innovative ideas. A solid foundation in C++ programming is required.
  
  

编程能力出色，熟练掌握 Pytorch/Tensorflow，能够基于其中的一个框架快速开发和实 现各类前沿深度学习模型，具备创新能力和扎实的 C++编程基础，对模型做改进和调 优。

• Priority will be given to candidates who have won awards in competitions such as ACM/ICPC, NOIP/NOI, and those with outstanding performance in machine learning competitions like Kaggle.
  
  

在 ACM/ICPC、NOIP/NOI 等竞赛中获奖的获奖者优先，在机器学习知名比赛如 Kaggle 等成绩优秀者优先。

• Candidates with publications in international conferences (including but not limited to NIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI) or journals in the fields of machine learning, data mining, and recommendation systems are preferred.
  
  

在机器学习、数据挖掘、推荐系统等国际顶会（包括但不限于 NIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI）或期刊有相关论文发表优先。

• Passion for the quantitative industry and a clear career development direction is essential. Self-motivated candidates are preferred.
  
  

热爱量化行业，坚定职业发展方向，自我驱动能力较强者优先。