Job ref no.: CT3114389-01#9470

Research Intern / Researcher

SenseTime Group Limited

  • 5-day week

Your Key Responsibilities will include

  • Research and develop computer vision & Deep Learning algorithms, e.g. object detection, object tracking, image classification, image segmentation, reinforcement learning, 3D computer vision and image processing
  • Responsible for  optimization and integration of computer vision & deep learning algorithms with industry application
  • Responsible for leading the innovation of algorithms in industry and academy 


What we will be looking for in you

  • Bachelor or above in Computer Science, Electrical Engineering or related fields.
  • Proficiency in machine learning (especially deep learning) & computer vision
  • Excellent analytical and problem solving skills, willing to take up challenges
  • Proficiency in C / C++ , knowledge in Shell/Python/Matlab programming
  • Team player and fast learner


Considered as advantage:

  • Strong research skills , for example Postgraduate with paper in CCF A-tier conferences or journals (CVPR, ICCV, TPAMI etc.) / or Bachelor with paper CCF B-tier conferences or journals
  • Strong programming skills, for example winners at ACM or related competitions, e.g. ACM pre-gold ; NOI silver or above; Star of Baidu finalist; or high-impact open source projects on github
  •  Experience of winning top leaderboard in research competitions, eg, ImagNet or Kaggle
  •  Related 1 year Intern experience in BAT or AI start-up company, or international well-known labs in areas of computer vision/machine learning/data mining



We offer 5-day work with competitive package and dynamic working environment to the right candidate. Interested parties please apply with a detailed resume including current & expected salary, availability and contact details to HUMAN RESOURCES DEPARTMENT.

Interested parties please click Apply Now





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More job information
Job ref no. CT3114389-01#9470
  • N/A
Job Function
  • Shatin
Employment Term
  • Internship
  • Contract
  • Full-time
Career Level
  • Non-management level
  • Degree