Staff Machine Learning Engineer
Core
Design, build, and scale production ML systems for anomaly detection, threat detection, and security analytics using deep learning, behavioral modeling, and agentic AI.
Role type
Staff Machine Learning Engineer (Security)
Builds
End-to-end ML systems, LLM capabilities, and agentic AI for security investigation
Domain
Cybersecurity, Large-scale data, Generative AI
Deliverable
production ML models
Required skills
Deep learning, behavioral modeling, anomaly detection, LLMs, agentic AI, distributed compute (Spark), MLOps, Python, SQL, software engineering
Preferred skills
Cybersecurity/fraud ML, vector databases, RAG, multi-agent systems, publications/patents
Technologies
PyTorch, transformers, Spark, AWS, MLflow
Responsibilities
Architect end-to-end ML systems for high-volume security data, own the ML lifecycle from feature engineering to retraining, build LLM and agentic AI capabilities, design evaluation frameworks, scale pipelines with platform engineers, mentor engineers
Seniority
Staff, hands-on IC with mentorship
