Researcher – AI Security
- Vancouver, BC, Canada
On-site
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise. · Full-time
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Job details
- Pay
- The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise.
- Job type
- Full-time
- Workplace
- On-site
- Posting language
- English
- Posted
Original job 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).
More about this job
Responsibilities
The Researcher at Huawei will work with malware analysts to define problems and evaluation methods, design and train AI models that classify malware, and build data pipelines. The role also includes research, technical reports and contributing to patents.
Requirements
Candidates need a Master's or PhD in computer science, electrical engineering, mathematics or a related field, strong AI and machine learning skills, and Python with PyTorch or JAX. Malware analysis, cybersecurity and big data experience, plus fluent English, are also required.
Skills
- Python
- PyTorch
- JAX
- Large language models
- Graph neural networks
- Machine learning
- Deep learning
- Transformers
- Representation learning
- Malware analysis
- Reverse engineering
- Cybersecurity analysis
- Spark
- Ray
- Distributed ETL
- Data pipelines
- LLVM
- Compilers
- C/C++
- Embedded C
- Operating systems
- Low-level programming
- Model evaluation
- Technical writing
- Patent drafting
Categories
- Technology
- Security & Safety
- Data & Analytics
- Science & Research
- Software
Keywords
- AI security
- malware classification
- threat classification
- LLM
- GNN
- machine learning
- deep learning
- PyTorch
- JAX
- Python
- Spark
- Ray
- distributed ETL
- reverse engineering
- malware analysis
- cybersecurity
- LLVM
- compilers
- C/C++
- embedded C
Seniority
Mid level
Tools
- Python
- PyTorch
- JAX
- Spark
- Ray
- LLVM
Languages
- English
Fields of study
- Computer Science
- Electrical & Computer Engineering
- Mathematics