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Co-op Researcher - Video Generation & 3D Computer Vision
Job Description & How to Apply Below
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, audio, speech, AI theory, and Autonomous driving.
Responsibilities
Conduct fundamental research in Video Generation, Video Editing, and 3D Vision.
Develop innovations to support robust R&D in 2D and 3D AIGC domains.
Solve real‑world problems leveraging stable, dedicated industry funding.
Publish research results in top‑tier computer vision and AI conferences.
Collaborate and communicate actively within a team driven by technological curiosity.
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
Job requirements
About the ideal candidate:
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, Tensor Flow, PyTorch etc. and a track record of translating ideas into research prototypes quickly.
Working or internship experience at industry research labs or technology companies a plus.
Experience in training large‑scale video generation/editing models, video world models, or 3D generation models a plus.
Additional Information
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.
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