Intern Researcher- AI Agents

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

About the Role

Huawei Canada CBG team is seeking a highly motivated Audio, Speech, & Acoustics Research Intern to join our AI & Signal Processing Research team. In this role, you will work closely with senior researchers and engineers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic signal processing, deep learning, and speech processing.

About the job

• 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 Computer Science or a related field.
• Strong background in one or more areas including LLMs, VLMs, multimodal learning, reinforcement learning, generative AI, code generation, AI agents, computer vision, NLP.
• GUI agents, web agents, computer-use agents, or mobile agents.
• Strong programming and implementation skills, particularly in Python, with hands-on experience using modern deep learning frameworks such as PyTorch.
• Strong research ability, including problem formulation, algorithm design, experimental evaluation, and technical analysis.
• Ability to independently identify promising research directions and turn ideas into working prototypes and experimental results.
• Strong communication and collaboration skills.
• Publications in venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, or related top-tier venues.
• Agentic systems, tool use, function calling, MCP, or multi-step planning.
• Code generation, coding agents, program synthesis, or software engineering agents.
• UI code generation or automated web/application development.
• Web technologies and browser automation, such as HTML, CSS, JavaScript, DOM, Playwright, or browser APIs.