# Machine Learning Researcher -LLM Agents & Efficient Deep Learning at Huawei Technologies Canada Co., Ltd.

> Onsite · Canada · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2589404 (read 2026-11-08).

## Facts (observed)

- Company: [Huawei Technologies Canada Co., Ltd.](https://alderhq.app/companies/huawei-technologies-canada-co-ltd)
- Location text: Montréal, Quebec, Canada
- Where it can be done from (inferred): Onsite · Canada (evidence: "Location: Montréal, Quebec, Canada")
- Posted: 2026-05-05 (187 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://huaweicanada.recruitee.com/o/machine-learning-researcher-llm-agents-efficient-deep-learning
- Skills listed (inferred): PyTorch, LLMs

## Pay and sponsorship

- Posted pay: CAD 106k–CAD 156k per year (from the description)
- Market band for similar posted roles (Canada, n 20): p25 CAD 125k, median CAD 154k, p75 CAD 178k

## Description (the employer's text)

### 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.

### Requirements

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2589404 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.