Intern Researcher - Embodied AI

<p style="text-align:start;"><strong><span style="font-size:1.2em"><span style="color:#121317">Huawei Canada has an immediate internship opening for an Intern Embodied AI Researcher.</span></span></strong></p><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;"><strong><span style="font-size:1.2em"><span style="color:#121317">About the team:</span></span></strong></p><p style="text-align:start;"><span style="font-size:1.1em"><span style="color:#121317">Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s 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 company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.</span></span></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.2em"><span style="color:#121317">About the job:</span></span></strong></p><ul><li><p><span style="font-size:1.1em"><span style="color:#121317">Conduct cutting-edge research on safe and reliable embodied AI systems, with a focus on robotic manipulation and autonomous decision making.</span></span></p></li><li><p class="Compact"><span style="font-size:1.1em"><span style="color:#121317">Develop novel reinforcement learning, imitation learning, and learning-from-demonstration algorithms for improving the safety, robustness, and generalization of embodied agents.</span></span></p></li><li><p class="MsoListParagraphCxSpMiddle"><span style="font-size:1.1em"><span style="color:#121317">Design and evaluate methods for leveraging negative data, failure cases, human feedback, and corrective demonstrations to improve policy learning.</span></span></p></li><li><p class="MsoListParagraphCxSpMiddle"><span style="font-size:1.1em"><span style="color:#121317">Develop and study Vision-Language-Action (VLA) and Vision-Language Models (VLMs) for embodied intelligence and robot learning applications.</span></span></p></li><li><p class="Compact"><span style="font-size:1.1em"><span style="color:#121317">Implement, train, and evaluate state-of-the-art models in both simulation and real-world robotic environments.</span></span></p></li><li><p><span style="font-size:1.1em"><span style="color:#121317">Collaborate closely with researchers and engineers to translate research ideas into scalable systems and internal technology prototypes.</span></span></p></li><li><p><span style="font-size:1.1em"><span style="color:#121317">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.</span></span></p></li><li><p><span style="font-size:1.1em"><span style="color:#121317">Publish research findings at top-tier machine learning and robotics conferences and contribute to high-impact intellectual property.</span></span></p><p style="min-height: 1.7em;"></p></li></ul><p><span style="font-size:1.1em"><span style="color:#121317">The </span></span><strong><span style="font-size:1.1em"><span style="color:#121317">total target annual compensation</span></span></strong><span style="font-size:1.1em"><span style="color:#121317"> for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.</span></span></p>