aimlroles

Researcher – Computer Vision and Multimodal Foundation Models

Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026
On-site Markham Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time · no salary stated · we estimate CA$120,250–CA$161,813 across Canada.

Estimated pay

Huawei Technologies Canada Co., Ltd. has not published a salary for this role. The figure below is our estimate, not theirs.

CA$120,250 – CA$161,813
What the middle half of mid-level AI research roles in Canada paid, among postings that did state a salary.
Worked out from 15 postings that stated pay, median CA$137,750. Last updated Oct 17, 2026.
RoleAI Research
SeniorityMid-level
LocationMarkham
WorkplaceOn-site
EmploymentFull-time
PostedJul 7, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Advance computer vision and multimodal foundation model research, handling research and development work independently
  • Bring vision capabilities into a wider spatial reasoning system by working with teams across functions
  • Guide junior engineers and interns, and contribute research through patents and publications
  • Track new work in vision and machine learning, spot innovation opportunities, and deliver projects on schedule

What you bring

  • An advanced degree in computer science, robotics or a related area, focused on vision and multimodal foundation models; a Ph.D. is preferred
  • Strong grasp of spatial reasoning and foundation models, plus experience applying vision algorithms to practical problems
  • Fluency in Python and C++, and use of deep learning frameworks such as PyTorch or TensorFlow
  • A substantial publication record at leading AI conferences or journals

Who this fits

This mid-level, onsite role in Markham suits a researcher who can run projects independently while mentoring junior colleagues. The work centers on computer vision, multimodal foundation models and spatial reasoning.

From the employer

Huawei Canada has an immediate permanent opening for a Researcher.

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, AI theory, and Autonomous driving.

Responsibilities:

  • Independently contribute to research and development efforts within the area of computer vision and multimodal foundation models.

  • Collaborate closely with cross-functional teams to integrate computer vision solutions into the broader spatial reasoning system.

  • Mentor and guide junior engineers and interns, fostering a collaborative and innovative team environment.

  • Contribute to the development of our intellectual property portfolio through patent filings and publications.

  • Stay abreast of the latest research and advancements in computer vision and machine learning. Proactively identify opportunities for innovation.

  • Independently manage projects and deliver high-quality results within established timelines.

  • Advanced degree (Ph.D. preferred) in Computer Science, Robotics, or a related field with a focus on computer vision and multimodal foundation models.

  • Deep understanding of spatial reasoning and foundation models, e.g., VLM, LLM, MLLM, etc.

  • Proven expertise in applying computer vision algorithms for real-world application.

  • Strong programming skills in Python and C++, with experience using deep learning frameworks (PyTorch, TensorFlow).

  • Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.

  • A strong publication record in top-tier AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).