Intern Researcher - Embodied AI

Huawei Technologies Canada Co., Ltd. • Markham, ON

2d • CA$58,000 - CA$104,000

About The Position

Huawei Canada has an immediate internship opening for an Intern Embodied AI Researcher. The Noah’s Ark lab, founded in 2012, is a prominent research organization focused on advancing artificial intelligence and related fields. The lab's mission is to enhance state-of-the-art research and integrate innovations into products and services, covering areas like LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving. This role involves conducting cutting-edge research on safe and reliable embodied AI systems, with a focus on robotic manipulation and autonomous decision making. Responsibilities include developing novel reinforcement learning, imitation learning, and learning-from-demonstration algorithms, designing methods for leveraging failure cases and human feedback, and developing/studying Vision-Language-Action (VLA) and Vision-Language Models (VLMs) for embodied intelligence. The intern will implement, train, and evaluate models in simulation and real-world robotic environments, collaborate with researchers and engineers, stay current with AI advancements, and publish research findings.

Requirements

• Currently pursuing a Master’s 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.

Responsibilities

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

What This Job Offers

• Career Level: Intern