Malware Researcher (on-site)
Core
Develop machine learning models for malware detection and threat analysis to protect critical infrastructure networks.
Role type
Senior Machine Learning Engineer (Cybersecurity)
Builds
Production ML models for malware detection and threat analysis
Domain
Cybersecurity, Malware Analysis, Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, AWS, Statistics, ML fundamentals, Data labeling, Model deployment, MLOps, Error analysis
Preferred skills
Experiment tracking (MLflow, W&B), Model optimization (quantization, ONNX), Binary analysis, Cybersecurity background
Technologies
AWS, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, MLflow, Weights & Biases, ONNX, Docker
Responsibilities
Design, train, and tune ML models for malware detection; Build and version datasets for training and evaluation; Take models from experiment to production on AWS; Monitor deployed models for drift and drive retraining; Define evaluation protocols and metrics; Present results and trade-offs to engineering and product teams.
Seniority
Senior, hands-on IC
