AI 算法研究员 Quantitative Researcher - Machine Learning (Experienced Hire)

Responsibilities

- Implement various deep learning and machine learning techniques for data modeling. - Identify data patterns and intrinsic logic, ensuring continuous model optimization.

Requirements

1. 毕业于国内外一流名校的计算机、数学、统计学、物理等 STEM 专业硕士和博士(优秀的本科生亦可)，熟稔统计机器学习基础理论、对深度学习算法有较深刻理解，在时间序列、自然语言处理、图像、数据挖掘等某一细分领域有相关建模经验； 2. 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，对模型做改进和调优； 3. 在各类学科竞赛中获奖者优先，在机器学习知名比赛如 Kaggle 等成绩优秀者优先； 4. 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； What you need: - Graduates from top-tier universities, both domestic and international, with Master's or Ph.D. degrees in Computer Science, Mathematics, Statistics, Physics, or other STEM fields. Exceptional undergraduate students are also encouraged to apply. The candidate should possess a profound understanding of statistical machine learning theories, unique insights into deep learning algorithms, and have modeling experience in specific domains like time series, natural language processing, imaging, or data mining. - Outstanding programming skills with proficiency in Pytorch/Tensorflow. Able to swiftly develop and deploy cutting-edge deep learning models using one of these frameworks. Possesses the innovative capacity to refine and optimize models. - Prior achievements in various academic competitions are preferred, especially with distinguished performance in renowned machine learning competitions like Kaggle. - Publications in international top-tier conferences or journals in the fields of machine learning, data mining, recommendation systems, etc., including but not limited to NIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, and IJCAI, will be a distinct advantage.

Who this role is for

本科及以上

Company overview