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Intern Researcher - Embodied AI
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Huawei Technologies Canada Co., Ltd.

Intern Researcher - Embodied AI

AB, Canada
8215-112 Street Northwest, Edmonton, AB, T6G 2C8, Canada

Internship

Apply on huaweicanada.recruitee.com About employer

Applications open in a new tab.

Job details

Job type: Internship
Posting language: English
Posted: Nov 12, 2026

Original job description

Huawei Canada has an immediate 6 to 12 month internship opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab focuses on research and innovation in power efficiency and performance optimization for consumer devices. By leveraging the talents and capabilities of local academia and our team, we aim to build system-optimization capabilities for software and hardware across edge AI, multimedia, graphics, mobile gaming, and system software domains, thereby enhancing the user experience and performance competitiveness of Huawei's consumer device products.

About the job:

Conduct cutting-edge research on high-performance embodied AI systems, with a focus on robotic manipulation and autonomous decision-making.
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.
Stay current with the latest advances in reinforcement learning, robot learning, embodied AI, and foundation models, and contribute technical insights to the team's research roadmap.

About the ideal candidate:

Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related field.
Experience developing, training, or evaluating Vision-Language-Action (VLA) models, Vision-Language Models (VLMs), multimodal foundation models, or embodied AI systems.
Experience working with robot simulators, robotic platforms, robotics algorithms, or real-world embodied AI systems.
Proficient in Python, with hands-on experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to independently drive research from ideation through implementation, experimentation, publication, and technology transfer.
Experience with embedded systems or building real-world robotic systems is preferred.

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.

Apply on huaweicanada.recruitee.com About employer

More about this job

Responsibilities

Conduct research on high-performance embodied AI systems, focusing on robotic manipulation and autonomous decision-making. Develop and evaluate novel algorithms and models in both simulation and real-world robotic environments.

Requirements

Currently pursuing a Master's or PhD in Computer Science, Robotics, or a related field. Proficiency in Python and experience with deep learning frameworks and robotic systems are required.

Skills

Python
PyTorch
TensorFlow
Reinforcement Learning
Imitation Learning
Robotics
Computer Science
Machine Learning
Artificial Intelligence
Vision-Language-Action Models
Vision-Language Models
Embodied AI
Robot Simulators
Embedded Systems
Algorithm Development

Visa sponsorship

Not detected in the job text

Keywords

Embodied AI
Robotics
Reinforcement Learning
Imitation Learning
Vision-Language-Action Models
VLA
VLM
Python
PyTorch
TensorFlow
Deep Learning
Robot Learning
Foundation Models
Embedded Systems
System Optimization
Edge AI
Robotic Manipulation
Autonomous Decision-Making
Research
Technology Transfer

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Jobs in Canada