Co-op Researcher - LLMs & Computer Vision

Posted 15 Days Ago
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Markham, ON, CAN
In-Office
58K-104K Annually
Entry level
Information Technology • Other
The Role
Conduct research and development in computer vision, deep learning, LLMs, and VLMs. Develop image and video understanding or synthesis systems, multimodal reasoning and agentic applications, and optimize models for mobile computing constraints. Responsibilities include prompt engineering, model adaptation, fine-tuning, evaluation, and reinforcement-learning-based post-training. The role also involves academic research and applying machine learning techniques to real-world problems.
Summary Generated by Built In

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 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 $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

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 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).

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.

Skills Required

  • Experience applying machine learning or computer vision to real-world problems
  • Basic knowledge of computer vision, deep learning, and/or large language models
  • Experience with Python coding and version control such as Git
  • Experience with deep learning frameworks such as PyTorch
  • Academic research experience, such as participation in paper publishing
  • Familiarity with image and video generation models such as GANs, Stable Diffusion, or Flux
  • Familiarity with LLMs, Vision-Language Models, or multimodal AI
  • Hands-on experience fine-tuning and adapting LLMs or VLMs, including supervised fine-tuning
  • Familiarity with reinforcement learning for LLMs, including preference optimization or RL-based post-training
  • Familiarity with open-source LLM/VLM ecosystems and models such as Llama, Qwen, or Gemma
  • Familiarity with agentic workflows
  • Knowledge of photography, OpenCV, photo editing tools such as Photoshop, and/or computer graphics tools such as Blender
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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