Qualifications

• Ph.D or Master's in Computer Science, Electrical & Computer Engineering, Mathematics, or equivalent research experience.
• Strong foundation in LLM/AI/ML with mathematical understanding of Transformers and representation learning.
• Proficiency in programming, particularly Python, with experience in deep learning frameworks like PyTorch or JAX.
• Strong teamwork abilities and excellent cross-cultural communication skills in fluent English.
• Experience in malware analysis, reverse engineering, and cybersecurity analysis.
• Familiarity with big data processing techniques such as Spark or Ray for distributed ETL.
• Knowledge of compilers, operating systems, and low-level programming languages like C/C++.

Responsibilities

• Partner with malware analysts to define problem scope and labeling strategy.
• Conduct research and produce technical surveys and reports on industry and academia.
• Design and implement LLM/GNN/ML approaches for threat classification.
• Build scalable data pipelines for data management and preprocessing.
• Drive end-to-end experimentation including model training and error analysis.
• Contribute to patents and publications and participate in conferences as needed.

Benefits

• Permanent position within a high-performance technical expert team.
• Opportunity to conduct impactful research that leads to high-value patents.
• Access to professional development through conferences and travel opportunities.
• Strong emphasis on collaboration and communication within a diverse team environment.