Intern Researcher- AI Agents
At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · internship · CA$58,000–CA$104,000 OTE.
aimlroles summary, based on the employer's posting.
What you'll do
- Research AI agents, language and vision-language models, code generation, and multimodal AI problems
- Build agents for web, mobile, and computer-use settings, including systems that operate GUIs or write code
- Test approaches to supervised fine-tuning, reinforcement learning, agent training, tool use, and function calling
- Create prototypes, datasets, training pipelines, benchmarks, and evaluation methods, then run experiments and assess results
- Share research through papers, journal articles, and technical presentations
What you bring
- You are pursuing a master's or Ph.D. in computer science or a related discipline
- You bring strong programming skills, especially in Python, and practical use of deep-learning frameworks such as PyTorch
- You can frame research questions, design algorithms, evaluate experiments, and interpret technical results
- You can identify research directions independently and turn them into prototypes and experimental findings
Who this fits
This internship suits a graduate student focused on AI research who can take ideas from problem formulation through implementation and evaluation. The position is based onsite in Markham and runs for eight to twelve months. It is an internship role working with senior researchers and engineers.
From the employer
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.
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.