Intern Researcher- Applied 3D AIGC

We are looking for an Intern researcher working in the areas of AI and 3D AIGC. As part of a fundamental research group, our innovations are expected to support R&D in the domains of 3D content reconstruction, generation and editing by using advanced AI technologies. By joining our lab, you will have the chance to work on real world problems with industry funding. Our work will contribute to push the edge of technology innovation to real Huawei products and publish our research results at top conferences. Collaboration, communication and curiosity will be key to your success.

Working closely with other research scientists, research engineers, and research interns, you will:

• →

  As a technology team leader, be responsible for the business analysis, solution design and implement quick prototypes to validate technologies.

• →

  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 and land them in various Huawei products.

The total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

• PhD 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 a plus.

• Minimum 2+ Experience building large scale machine learning solutions for 3D Vision and 3D AIGC.

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.