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Machine learning Engineer(Ph.D)

Responsibilities:
  • Conduct quantitative investment strategy research and development by machine learning/deep learning/reinforcement learning.
  • Improve the existing machine learning algorithm through the design of Deep Neural Networks and other ways to predict the characteristics/target price of the secondary market.
  • Keep up with the cutting edge of related fields and promote research.
  • Constructing a scientific and rigorous algorithm evaluation system.
  • Assist in the preparation, maintenance, debugging and optimization of relevant trading strategy procedures
 
Qualification:
  • Master or Doctor degree in well-known universities, major in computer science, statistics or other machine learning relatedfield.
  • Solid theoretical foundation, master common algorithms in machine learning, having published high-level academic papers is preferred.
  • Proficient in Python and related development kits, such as TensorFlow and kears.
  • Proficient in data processing and analysis using Hadoop, Hive, SQL and Spark.