# Researcher – AI Security at Huawei Technologies Canada Co., Ltd.

> Onsite · Canada · Unspecified · Security · open. Source: https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2464211 (read 2026-11-09).

## Facts (observed)

- Company: [Huawei Technologies Canada Co., Ltd.](https://alderhq.app/companies/huawei-technologies-canada-co-ltd)
- Location text: Vancouver, British Columbia, Canada
- Where it can be done from (inferred): Onsite · Canada (evidence: "Location: Vancouver, British Columbia, Canada")
- Posted: 2026-02-06 (275 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/researcher-ai-security
- Skills listed (inferred): Python, C++, Spark, PyTorch, LLMs

## Pay and sponsorship

- Posted pay: CAD 106k–CAD 156k per year (from the description)
- Market band for similar posted roles (Vancouver, n 5): p25 CAD 95k, median CAD 110k, p75 CAD 120k

## Description (the employer's text)

Huawei Canada has an immediate permanent opening for a Researcher.

### About the team

The AnShi Lab focuses on developing next-generation gateway software architecture by prioritizing file security and software innovation. The focus is on conducting mid- and long-term research to create high-value patents and guide datacom gateway development. The goal is to establish industry benchmarks through cloud-based, intelligent software engineering. By leveraging local resources and fostering talent, we aim to build a high-performance technical expert team, improving both organizational vitality and personnel capabilities.

### About the job

Partner with malware analysts and security stakeholders to define problem scope, labeling strategy, and evaluation methodology.

Conduct industry/academic research and produce concise surveys and technical reports.

Design and implement LLM/GNN/ML approaches for malware/threat classification (e.g., family/behavior classification, malicious vs. benign).

Build scalable data pipelines for ingestion, preprocessing, deduplication, and dataset management.

Drive experimentation end-to-end: model training, calibration, benchmarking, error analysis, and iteration.

Contribute to patents/publications; (Optional) travel/conferences.

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise.

### Requirements

### About the ideal candidate

Ph.D or Masters degree in Computer Science, Electrical & Computer Engineering, Mathematics, or a closely related field, with a focus on systems, high-performance computing, or databases, or equivalent research experience.

Very strong foundation in LLM/AI/ML with solid mathematical understanding (Transformers, representation learning, optimization, evaluation).

Strong programming and engineering skills (Python; deep learning frameworks such as PyTorch/JAX; reproducible experimentation).

Excellent teamwork and cross-cultural communication; fluent English (written and spoken).

Malware analysis / reverse engineering experience; cybersecurity analysis background.

Big data processing experience (Spark/Ray, distributed ETL).

Knowledge of compilers (e.g., LLVM), operating systems, and low-level programming (C/C++ / embedded C).

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2464211 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.