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Co-op Researcher in Computer Vision and Machine Learning

Huawei Technologies Canada Co., Ltd.Markham, Ontario, Canada
On-site Internship

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Experience Level

Entry Level

Qualifications

Ideal Candidate Profile:Pursuing a degree in Computer Science, Machine Learning, or a closely related discipline. Strong written and verbal communication abilities. Proficient coding skills in Python and/or C++. Familiarity with deep learning frameworks such as PyTorch and TensorFlow. Basic knowledge of Linux operating systems. Solid grasp of foundational concepts, including linear algebra, probability theory, optimization, computer vision, and machine learning.

About the job

Huawei Canada is excited to announce a 12 to 16-month Co-op opportunity for a Researcher specializing in Computer Vision and Machine Learning.

About Our Team:

The Noah’s Ark Lab, established in 2012, has become a leading research facility recognized for its significant contributions to both academic and industrial advancements in artificial intelligence. Our mission is to propel AI research to new heights, creating innovations that not only enhance our products and services—including large language models (LLMs), reinforcement learning (RL), natural language processing (NLP), and autonomous driving—but also benefit society at large.

Job Overview:

  • Delve into cutting-edge topics within computer vision and machine learning, establishing yourself as a subject matter expert while fostering innovation.
  • Design and implement cutting-edge algorithms for spatial reasoning and multimodal foundation models.
  • Assess and benchmark solutions using internal datasets to ensure optimal performance.
  • Engage in close collaboration with fellow researchers, sharing insights and expertise to drive impactful discoveries.
  • Work alongside cross-functional teams, contributing to meetings and collaborative projects.

About Huawei Technologies Canada Co., Ltd.

Huawei Technologies Canada Co., Ltd. is a global leader in telecommunications and information technology, focused on developing innovative solutions that enhance connectivity and improve quality of life through advanced technologies.

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