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Engineer (PI) / Engineering Associate (PI), Machine Learning

Job Information

  • Post Date:2020-04-06
  • Career Level:Not Specified
  • Location:Not Specified
  • Qualification:Degree
  • Salary:Salary provided
  • Employment Type:Contract, Full Time
  • Job Function:http://www.astri.org

Job Description

Job Responsibilities

  • Assist in ITF R&D project as assigned;
  • Research and evaluate state-of-the-art AI algorithms prototypes for our projects.
  • Develop machine learning/deep learning algorithms, implementation and evaluation using data from different areas to support recommendation system, NER and other applications;

Requirements

  • Graduate with a Bachelor or master’s degree in Computer Science, Data Science, Electronic Engineering, Information Engineering or relevant disciplines, including non-local graduates from a local university of Hong Kong.
  • Experience in programming using Java, Python, or R
  • Experience in machine learning, or deep learning algorithms development
  • Experience in deep learning frameworks (Tensorflow, Caffe, PyTorch, Keras) is a plus
  • Experience in big data / distributed system is a plus

Application

To apply, please click 'Apply Now' to submit your application with your resume, you must quote the Job Ref and include the following information:

  1. Name of University
  2. Degree obtained/expecting and when
  3. Have you participated in ITF Project Internship Program before? Yes/No
  4. If you answer Yes in item 3, please state the period
  5. Have you been employed by ASTRI before? If yes, please state the period
  6. Academic referee
  7. Your R&D skills
  8. Your work experience, if applicable

Application Deadline: until this position is filled. Only short-listed candidates will be notified.

ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only.  ASTRI reserves the right not to fill the position.

 

Company Info

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was established by the Hong Kong SAR Government in 2000 with a mission to enhance the citys global competitiveness. To remain globally prominent, Hong Kong strives to find new ways for its traditional sectors to thrive, and for the potential of emerging sectors to be unleashed. Harnessing the power of technology is key to achieving this.

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