We are building the world’s most advanced, AI edge inference and Learning engine. We have core processor technology that is modular, low power and high performance among peer companies. We are now scaling our engineering team to build products to address various markets’ needs (Automotive, IOT etc.).


About the role:

AlphaICs is looking for a world-class AI/Deep Learning Research Intern to research and develop neural network based learning algorithms. In this role, you will work with algorithm experts to come up with state of the art algorithms in the area of Artificial Intelligence, Computer Vision, natural language processing, including Object detection, and Image recognition. We are looking for candidates who can work with us for more than 3 months. If you are someone with a good understanding of deep learning, reinforcement learning, advanced mathematical concepts and good academic record, we will be happy to talk to you about the work we are doing.


You should apply for this role if you have the following qualifications:

  • Bachelor / Master degree in computer science or AI related field with excellent academic records (Students are also welcome to apply).
  • Strong mathematical foundation and applied research experience in machine learning and deep learning, reinforcement learning.
  • Experience working with deep learning frameworks (Tensorflow, Pytorch, etc.) and related tools in each special field. Solid understanding and hands on experience with C/C++/Python.
  • Publication record in top AI conferences (ACL, CVPR, NAACL, ICML etc) is a plus.
  • Experience with CUDA or GPU computation is a plus.
  • Excellent communication and documentation skills.
  • Ability to learn quickly, starting with little information and becoming an expert in your domain.
  • Ability to communicate/collaborate with other researchers/engineers including our team members.
  • Solid Github/ Kaggle profile is a plus.


Thank you for considering a career at AlphaICs Corporation.
Please share the below list of details to apply for the position




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