Posted 16 months ago
Researcher – Computer Vision and Multimodal Foundation Models
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring a full-time Researcher for its Noah's Ark lab to work on computer vision and multimodal foundation models. The role involves independent research, integrating vision solutions into a spatial reasoning system, mentoring junior engineers and interns, and producing patents and publications. A Ph.D. is preferred, along with strong Python and C++ skills and a top-tier publication record.
Responsibilities:
- Independent computer vision and multimodal foundation model research
- Integrate vision solutions into a spatial reasoning system
- Mentor junior engineers and interns
- File patents and publish research
- Track advances in computer vision and machine learning
Requirements summary:
- Advanced degree in computer science, robotics or related field (Ph.D. preferred)
- Deep understanding of spatial reasoning and foundation models
- Proven applied computer vision experience
- Strong Python and C++ with PyTorch or TensorFlow
- Strong publication record in top AI venues
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2025-07-07
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-07
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Robotics, Computer Vision |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- Huawei Finland R&D
- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
| View page |
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.).
Journal
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