Researcher - Video Generation & 3D Computer Vision
Quick Summary
Invent state-of-the-art AI and computer vision algorithms to be published in top AI/CV conferences. Design and implement AI/CV solutions to real-world problems,
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.
Responsibilities
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Working closely with other research scientists, research engineers, and research interns, you will:
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Invent state-of-the-art AI and computer vision algorithms to be published in top AI/CV conferences.
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Design and implement AI/CV solutions to real-world problems, and land them in various Huawei products.
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Supervise intern students in R&D projects.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
PhD or master's in computer science or related fields with a focus on computer vision and machine learning.
Papers at relevant conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, etc.
In-depth hands-on experience in Python, TensorFlow, PyTorch etc. and a track record of translating ideas into research prototypes quickly.
Working or internship experience at industry research labs or technology companies is an asset.
Experience in training large-scale video generation/editing models, video world models, or 3D generation models is an asset.
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs. All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Location & Eligibility
Listing Details
- First seen
- September 20, 2026
- Last seen
- September 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- September 20, 2026
Signal breakdown
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