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1–2 jobs· newest first

Intern Researcher - Embodied AINew
Huawei Technologies Canada Co., Ltd. · Edmonton, Canada
On-site · Internship · Intern
Researcher - Embodied AINew
Huawei Technologies Canada Co., Ltd. · Edmonton, Canada
On-site · Contract · Staff

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Intern Researcher - Embodied AI

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

Edmonton, Alberta, Canada
On-site
Internship · Intern

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AI

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Conduct cutting‑edge research on high‑performance embodied AI systems, focusing on robotic manipulation and autonomous decision‑making.

Responsibilities

Conduct cutting‑edge research on high‑performance embodied AI systems
Develop novel reinforcement learning, imitation learning, and learning‑from‑demonstration algorithms
Design and evaluate methods for leveraging negative data, failure cases, human feedback, and corrective demonstrations
Develop and study Vision‑Language‑Action (VLA) models, Vision‑Language Models (VLMs), and embodied AI agents
Implement, train, and evaluate state‑of‑the‑art models in both simulation and real‑world robotic environments

Requirements

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related field
Nice to have: embedded systems
Nice to have: building real‑world robotic systems

Skills

Python PyTorch TensorFlow Vision‑Language‑Action (VLA) models Vision‑Language Models (VLMs)multimodal foundation models embodied AI systems robot simulators robotic platforms robotics algorithms real‑world embodied AI systems

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Researcher - Embodied AI

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

Edmonton, Alberta, Canada
On-site
Contract · Staff

Apply with RefersoAI Apply on careers page

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

See full job description