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Publié il y a 9 mois

Researcher – AI Security

@ Huawei Technologies Canada Co., Ltd.

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Vancouver, Colombie-Britannique

Sur placeTemps plein
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En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

PythonPyTorchJAXSparkRayLLVM
Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2026-02-06
Première détection par notre source
2026-10-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineRecherche et sciences
Heures par semaine40 (estimé)
Déplacementsavion : minimes · route : aucun
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (exigé), Doctorat (préféré)
Domaines d’étudesComputer Science, Electrical & Computer Engineering, Mathematics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Huawei Technologies Canada Co., Ltd.

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Toutes ses offres Site Web
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy187
LinkedInVoir la page
Description

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).

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