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Co-op Researcher-Computer Vision and Machine Learning

Job Description

Co-op Researcher – Computer Vision & Machine Learning


Huawei Canada has an immediate 12/16-month Co-op opening for a Researcher role.


About the Team:


Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long‑term projects, the aim is to enhance state‑of‑the‑art research while integrating innovations into the company's products and services, including LLMs, RL, Write? NLP, computer vision, AI theory and autonomous driving.


About the job:



  • Dig deep into a computer vision and machine learning topic, becoming a subject matter expertძი and driving innovation.

  • Design and implement the state‑of‑the‑art algorithms for spatial reasoning and multimodal foundation models.

  • Evaluate and benchmark solutions with internal datasets.

  • Collaborate closely with our other researchers, exchanging knowledge and expertise to drive impactful discoveries.

  • Collaborate with cross‑functional team members, including regular attendance and participation in meetings and working groups.


About the ideal candidate:



  • Currently pursuing a degree in Computer Science, Machine Learning or a related field.

  • Excellent written and verbal communication skills.

  • Excellent coding skills with Python and/or C++.

  • Familiarity with deep learning frameworks such as Pytorch and Tensorflow.

  • Familiarity with Linux.

  • Solid understanding of core concepts, including linear algebra, probability theory, optimization, computer vision, and machine learning.

  • Experience in one or more focus areas: Computer Vision, Deep Learning, VLMs, LLMs, etc.


Seniority level



  • Internship


Employment type



  • Full‑time


Job function



  • Other


Industries



  • Telecommunications


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This role is with Huawei Canada in Markham.

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