Basic Qualifications 基本要求

• Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics. Strong interests and/or exposure in machine learning.

• 研究生学位（硕士或博士），电气工程、计算机科学、数学、物理或相关专业。对机器学习有强烈兴趣或经验。

• For research scientist role, we expect solid background in probability and statistic theories, linear algebra, optimization techniques. Proficiency in Python.

• 研究型科学家（Research Scientist）应在概率和统计理论、线性代数、优化技术方面有扎实的知识。能熟练使用Python。

• For applied scientist role, track record in one of the sub- application domain of machine learning (e.g. NLP, CV, speech, network analysis), or system building experience for machine learning stacks. Proficiency in Python and C++. 应用科学家（Applied Scientist）

• 应在机器学习的子应用领域（例如NLP，CV，语音，网络分析）有经验和成果，或有机器学习的系统构建的经验。能熟练使用Python和C ++。

Preferred Qualifications 优先资格

• Critical and scientific thinking, the ability to invent, a track record of thought leadership, and contributions that have advanced the field.

• 具有批判性和科学性思维，创新能力，思想领导力经验以及该领域内建设性的贡献。

• Have built deep learning models from scratch, experience in training and debugging.

• 具有从零开始构建深度学习模型，训练和调试的扎实经验。

• Good written and spoken communication skills, preferably in both Mandarin and English.

• 具有良好的书面和口头沟通能力，普通话和英语双语使用者优先。

• Additionally, 此外，

  • For applied scientist role: experience in innovating in one or multiple of the AI stacks in NLP, computer vision, large network analysis; solid software development experience. 应用科学家（Applied Scientist）：

  • 在NLP、计算机视觉、大型网络分析中的一个或多个AI领域中创新的经验，或者丰富的软件开发经验。

  • For research scientist role: able to prove theories and properties of algorithms; proven track record on algorithmic innovations.

  • 研究型科学家（Research Scientist）：能够证明算法的理论和性质；有算法创新的研究成果。