Co-op Researcher LLMs & Computer Vision

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

Founded in 2012 the Noahs Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The labs 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 companys 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 image / video understanding and synthesis tasks using cutting-edge deep learning and computer vision techniques.

• Explore and develop applications of Large Language Models (LLMs) and Vision-Language Models (VLMs) for multimodal understanding generation and intelligent agents.

• Develop and evaluate LLM/VLM-based solutions including prompt engineering model adaptation and multimodal reasoning.

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

The total target annual compensation for this position ranges from $58000 to $104000 depending on education experience and demonstrated expertise.

About the ideal candidate:

• Currently pursuing a Bachelors Masters 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 concepts and techniques on computer vision deep learning and/or large language models.

• Experience in Python coding and version control (e.g. Git).

• Experience in deep learning frameworks (e.g. PyTorch).

• Academic research experience (for example participation in paper publishing).

• Familiarity with image/video generation models (e.g. GAN Stable Diffusion Flux).

• Familiarity with LLMs Vision-Language Models (VLMs) or multimodal AI.

• Hands-on experience with fine-tuning and adapting LLMs or VLMs including supervised fine-tuning (SFT).

• Familiarity with reinforcement learning (RL) for LLMs including preference optimization or RL-based post-training.

• Familiarity with open-source LLM/VLM ecosystems and models (e.g. Llama Qwen Gemma or similar models).

• Familiarity with agentic workflows.

• Knowledge about photography OpenCV photo editing (e.g. Photoshop) and/or computer graphics tools (e.g. Blender).

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.