Design ML architectures to enhance threat detection and response.
Prototype AI agent workflows to streamline incident investigations.
Collaborate with cross-functional teams to define specs and ensure real-world performance.
Develop ML models for detecting behavioral anomalies in security telemetry.

🎯 Requirements

Vector search for data retrieval and RAG techniques
Deep learning, clustering, and graph algorithms
PyTorch or TensorFlow; scikit-learn; XGBoost
Experience integrating LLM APIs into production apps
MS in CS/Cybersecurity or 5+ years in security ML
Behavioral anomaly detection in security telemetry

🎁 Benefits

Competitive pay based on your work
Health coverage for you and family
Flexible locations and schedules
Generous vacation days
Donation matching up to $2000
Up to 40 volunteer hours/year

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