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Huawei Canada has an immediate 8-12-months opening for an Intern Researcher

About the Team：

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.

About the Role

• Conduct research on AI agents, LLMs, VLMs, code generation, and multimodal AI, with a focus on novel and impactful research problems.
• Design and develop GUI agents and coding agents for web, mobile, and computer-use environments.
• Develop and investigate new approaches for SFT, reinforcement learning, agent training, tool use, and function calling.
• Build research prototypes, datasets, training pipelines, benchmarks, and evaluation frameworks to validate new ideas.
• Conduct rigorous experiments and analyze results to advance the state of the art.
• Publish research findings in top-tier conferences and journals and communicate results through technical presentations and publications.

The total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the Ideal Candidate

• Currently pursuing a master’s or Ph.D. degree in Electrical Engineering, Computer Science, Audio/Acoustic Engineering, or a related quantitative field.
• Solid knowledge of Deep Learning theory and practice.
• Strong software development skills in Python and PyTorch (or another deep learning framework), e.g., from previous internships or research projects.
• Research skills, such as reading and implementing recent papers, designing and running experiments, and clearly writing up the results.
• Experience applying deep learning and computer vision to real-world problems.
• Excellent verbal and written communication skills, self-motivated, with creative thinking and attention to detail.
• Hands-on experience with Diffusion Transformers (DiT) for image/video generation or editing.
• Good understanding of 3D Computer Vision, especially camera models.
• Experience with distributed model training.
• Knowledge of photography (e.g., camera settings, lighting, composition).