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Vision-Language Models (VLMs) jobs in Canada

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Skill:Vision-Language Models (VLMs)

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1–2 jobs· newest first

Researcher - Embodied AINew
Huawei Technologies Canada Co., Ltd. · Edmonton, Canada
On-site · Contract · Staff
Scientifique-chercheur en IA Appliquée /Applied AI Research Scientist
Thales Group · Montréal, Canada
Hybrid · Full-time

+10K new in the last hour

Researcher - Embodied AI

Huawei Technologies Canada Co., Ltd. · Posted Nov 12, 2026

Edmonton, Alberta, Canada
On-site
Contract · Staff

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AI

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Conduct cutting-edge research on high-performance embodied AI systems, with a focus on robotic manipulation and autonomous decision-making.

Responsibilities

Develop novel reinforcement learning, imitation learning, and learning-from-demonstration algorithms to improve the safety, robustness, and generalization of embodied agents
Design and evaluate methods for leveraging negative data, failure cases, human feedback, and corrective demonstrations to improve policy learning
Develop and study Vision-Language-Action (VLA) models, Vision-Language Models (VLMs), and embodied AI agents for embodied intelligence and robot learning applications
Implement, train, and evaluate state-of-the-art models in both simulation and real-world robotic environments
Collaborate closely with researchers and engineers to translate research ideas into scalable systems and internal technology prototypes

Requirements

Master's or PhD in Computer Science
Master's or PhD in Robotics
Master's or PhD in Electrical Engineering
Master's or PhD in Machine Learning
Master's or PhD in Artificial Intelligence

Skills

Python Vision-Language-Action (VLA) models Vision-Language Models (VLMs)multimodal foundation models embodied AI systems robot simulators robotic platforms robotics algorithms deep learning frameworks PyTorch TensorFlow

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Scientifique-chercheur en IA Appliquée /Applied AI Research Scientist

Thales Group · Posted Jul 23, 2026

Montréal, Québec, Canada
Hybrid
Full-time

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Scientifique-chercheur en IA Appliquée /Applied AI Research Scientist

Responsibilities

Conduct research in computer vision and AI
Design, adapt and evaluate foundation models
Develop methods for object detection, segmentation, visual reasoning
Conduct pioneering research in frugal learning methods
Establish rigorous evaluation protocols

Requirements

PhD or master’s degree in computer science, electrical engineering, or related field
Nice to have: MLOps
Nice to have: software packaging
Nice to have: SDK development
Nice to have: engineering validation

Skills

Python C++PyTorch Tensorflow Scikit-learn OpenCV deep learning architectures vision-language models

computer vision

image processing

object detection

visual reasoning

scene understanding

frugal learning

few-shot learning

zero-shot learning

Benefits

Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, travel insurance, Employee Assistance Plan, Well-Being program
Retirement Savings Plans (RRSP, DCPP, TFSA) with company contribution
Paid holidays, vacation days, paid sick leave
Voluntary Life, AD&D, Critical Illness, Long-Term Disability
Employee Discounts on insurance

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