Posted 9 months ago
Researcher – AI Security
@ Huawei Technologies Canada Co., Ltd.
Vancouver, British Columbia
Overview
Huawei Technologies Canada is hiring a full-time Researcher for its AnShi Lab, focused on file security and next-generation gateway software. The role centres on AI-driven malware and threat classification using LLM, GNN and ML methods, plus research, data pipelines and patents. Pay is $106,000 to $156,000 per year depending on education and experience.
Responsibilities:
- Define problem scope and evaluation methodology with malware analysts
- Design and implement LLM, GNN and ML models for malware classification
- Build scalable data pipelines for ingestion and deduplication
- Conduct research and produce technical reports
- Contribute to patents and publications
Requirements summary:
- Master's or PhD in computer science, engineering, mathematics or related field
- Strong LLM, AI and ML foundation
- Python and PyTorch or JAX experience
- Malware analysis or reverse engineering experience
- Fluent English, written and spoken
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2026-02-06
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Research & science |
| Hours per week | 40 (estimated) |
| Travel | air: minimal · ground: none |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (preferred) |
| Fields of study | Computer Science, Electrical & Computer Engineering, Mathematics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- Huawei Finland R&D
- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
| View page |
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.
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).
Journal
Only you can see this. Kept on this device, and in your account when you sign in.