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Coop Researcher-Computer Vision and Machine Learning
Coop Researcher-Computer Vision and Machine LearningHuawei Technologies Canada Co., Ltd. • Markham, York Region, CA
Coop Researcher-Computer Vision and Machine Learning

Coop Researcher-Computer Vision and Machine Learning

Huawei Technologies Canada Co., Ltd. • Markham, York Region, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

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, 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 expert and driving innovation.
  • Design and implement the state-of-the-art algorithms for spatial reasoning and multimodal foundation model.
  • 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.
  • #J-18808-Ljbffr

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