Researcher-AI Agents
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · contract · CA$127,000–CA$225,000 OTE.
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate AI agents, language and vision-language models, code generation, and multimodal AI through original research questions
- Build GUI and coding agents that work across web, mobile, and computer-use settings
- Test approaches to supervised fine-tuning, reinforcement learning, agent training, and tool or function use
- Create prototypes, datasets, training pipelines, benchmarks, and evaluation methods, then analyze experiment results
- Publish and present findings, and work with engineering and product teams to turn prototypes into practical systems
What you bring
- A doctorate in computer science, electrical and computer engineering, machine learning, or a related field, or equivalent research experience
- Strong programming and implementation skills, especially in Python, with practical experience using PyTorch or other modern deep learning frameworks
- Research capability spanning problem definition, algorithm design, experimental evaluation, and technical analysis
- A strong foundation in at least one relevant area, such as LLMs, VLMs, reinforcement learning, multimodal learning, or AI agents
Who this fits
This role suits a mid-career researcher who can identify promising questions independently and develop ideas into prototypes and experimental results. The position is onsite in Markham and is a 12-month contract.
From the employer
Huawei Canada has an immediate 12-month opening for a Researcher Position
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 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.
Collaborate with researchers and engineers to translate research ideas into practical systems and technologies.
Publish research findings in top-tier conferences and journals and communicate results through technical presentations and publications.
Translate research ideas and prototypes into practical, product-ready technologies, working closely with engineering and product teams.
The targeted annual total compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
A Ph.D. in Computer Science, Electrical and Computer Engineering, Machine Learning, or a related field, or equivalent research experience.
Strong background in one or more areas including LLMs, VLMs, multimodal learning, reinforcement learning, generative AI, code generation, AI agents, computer vision, NLP.
LLM/VLM SFT, reinforcement learning, RLHF/RLVR, preference optimization, or other post-training techniques.
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.
Large-scale data generation, synthetic data, trajectory collection, or agent training.
Model distillation, efficient inference, particularly for small/edge models.
Experience with distributed training and large-scale GPU systems.
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.