Co-op Researcher - Video Generation & 3D Computer Vision

Huawei Canada has an immediate 8-12month Co-op openings for a Researcher role.

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

• Research and develop state-of-the-art technology in computer vision and machine learning.

• Work on various video / image understanding and synthesis tasks in using cutting-edge deep learning and computer vision techniques.

• Take into consideration of the mobile computing constraints for the optimization of algorithms and machine learning models.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

Requirements

About the ideal candidate:

• Currently pursuing a Bachelor's, Master's or Ph.D. degree in Computer Science or a related field.

• Experience with applying machine learning or computer vision to real-world problems.

• Able to grasp basic Computer Vision concepts and techniques.

• Coding in Python, PyTorch / TensorFlow (at least one)

• OpenCV, mobile app development, photo editing (e.g., Photoshop), image/video generation AI (e.g., Stable Diffusion, Flux) is an asset

• Academic research experience for example, participation in paper publishing is an asset

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.