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Researcher – AI Security
Researcher – AI SecurityHuawei Technologies Canada Co., Ltd. • Burnaby, Metro Vancouver Regional District, CA
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Researcher – AI Security

Researcher – AI Security

Huawei Technologies Canada Co., Ltd. • Burnaby, Metro Vancouver Regional District, CA
3 days ago
Job type
  • Permanent
Job description

Overview

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).
  • #J-18808-Ljbffr

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    Researcher AI Security • Burnaby, Metro Vancouver Regional District, CA

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