Machine Learning Engineer, Information Security
Core
Design, develop, and deploy production-ready AI/ML systems to proactively detect and defend against cybersecurity threats.
Role type
Senior IC machine learning engineer (information security)
Builds
Autonomous security systems and AI/ML-driven security solutions
Domain
Cybersecurity / Information Security
Deliverable
production ML models
Required skills
Python, Scala, TensorFlow, PyTorch, HuggingFace, Scikit-learn, generative AI, statistical modeling, reinforcement learning, CUDA deployment, full ML lifecycle management, cloud native scaling
Preferred skills
Ph.D. in technical field, deep learning (CNNs, RNNs, LSTMs), large language models, Apache Spark, C++, Swift, open-source security contributions, conference publications
Technologies
TensorFlow, PyTorch, HuggingFace, Scikit-learn, CUDA, AWS, GCP, Apache Spark, SIEM, IDS/IPS
Responsibilities
Translate research into production ML models for security use cases; collaborate with cross-functional teams to prototype and scale AI/ML solutions; own end-to-end ML workflows including data exploration, model development, evaluation, deployment, and monitoring.
Seniority
Senior, hands-on IC
