Machine Learning Researcher -LLM Agents & Efficient Deep Learning
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 · full-time · CA$106,000–CA$156,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build scalable pipelines that train, assess and deploy small language models
- Improve training and inference efficiency with quantization, pruning, sparsity, and low-rank or tensor decomposition methods
- Test new research ideas through experiments, then tune latency, throughput and KV-cache use during inference
- Connect reasoning models to tools through function calls, APIs and other tool-use frameworks
- Adapt GPU-based large language models for CPU-based small language models
What you bring
- A master's or doctoral degree in computer science, electrical engineering or a related discipline
- A strong publication record at leading AI conferences such as NeurIPS, ICML, AAAI or ICLR
- Deep learning and optimization expertise, including transformer architectures and experience with LLMs or SLMs
- Proficiency in PyTorch, plus experience building and scaling ML systems in research or production settings
Who this fits
This Montreal-based role is on-site and is a twelve-month opening. It suits a mid-career researcher with a strong research record and hands-on experience developing and optimizing language-model systems.
From the employer
Huawei Canada has an immediate 12months opening for a Machine Learning 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 Job:
multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.
Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank and tensor decompositions
Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.
Prototype new ideas and validate them through rigorous experimentation
Optimize inference performance (latency, throughput, KV-cache efficiency)
Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
MSc or PhD in Computer Science, Electrical Engineering, or related field
Strong publication record in top AI conferences such as NeurIPS, ICML, AAAI, ICLR, etc.
Strong background in deep learning and optimization
Experience with transformer architectures, LLM, SLM
Proficiency in Pytorch
Solid understanding of: Linear algebra and probability; Optimization algorithms (SGD, Adam, etc.)
Experience implementing and scaling ML systems in production or research settings.
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.