Intern Researcher Embodied AI

Job description

Huawei Canada has an immediate internship opening for an Intern Embodied AI Researcher.

About the team:

Founded in 2012 the Noahs Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The labs 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 companys products and services including LLMs RL NLP computer vision AI theory and Autonomous driving.

About the job:

• Conduct cutting-edge research on safe and reliable embodied AI systems with a focus on robotic manipulation and autonomous decision making.

• Develop novel reinforcement learning imitation learning and learning-from-demonstration algorithms for improving 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) and Vision-Language Models (VLMs) 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 foundation models and AI safety and contribute technical insights to the teams research roadmap.

• Publish research findings at top-tier machine learning and robotics conferences and contribute to high-impact intellectual property.

The total target annual compensation for this position ranges from $58000 to $104000 depending on education experience and demonstrated expertise.

Job requirements

About the ideal candidate:

• Currently pursuing a Masters or PhD in Computer Science Robotics Electrical Engineering Machine Learning Artificial Intelligence or a related field.

• Proven research excellence demonstrated by first-author publications at top-tier venues such as NeurIPS ICML ICLR CoRL RSS CVPR ICCV ECCV ICRA or IROS.

• Strong background in reinforcement learning including policy optimization model-based RL offline RL reward/value learning or safe reinforcement learning.

• Hands-on research experience with learning from demonstrations imitation learning inverse reinforcement learning preference learning or related paradigms.

• Experience developing training or evaluating Vision-Language-Action (VLA) models Vision-Language Models (VLMs) multimodal foundation models or embodied AI systems.

• Strong programming skills in Python and deep learning frameworks such as PyTorch.

• Experience working with robot simulators large-scale training infrastructure robotic platforms or real-world embodied AI systems.

• Demonstrated ability to independently drive research from idea formulation to implementation experimentation publication and technology transfer.

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.

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Required Experience:

Intern