Machine Learning Engineer, Detection (TOR)
Core
Design, train, and deploy ML models for batch and real-time inference to identify malicious content and digital threats across diverse data sources.
Role type
Machine Learning Engineer (Detection Systems)
Builds
Scalable detection systems and AI agents for social engineering defense
Domain
Cybersecurity / AI / Threat Intelligence
Deliverable
production ML models
Required skills
Model design and deployment, NLP, embeddings, similarity search, classification, anomaly detection, distributed data processing, production system trade-offs
Preferred skills
Experience with large-scale datasets, real-world threat problem solving
Technologies
NLP frameworks, distributed data processing frameworks, real-time inference systems
Responsibilities
Design and deploy models for batch and real-time inference, partner with Detection and Infrastructure teams to scale ML systems, work on NLP/embeddings/similarity search/classification/anomaly detection problems, collaborate with customers to translate threats into production systems
