Machine Learning Engineer, Detection (NY)
Core
Design, train, and deploy ML models for batch and real-time inference to identify malicious or infringing content across diverse data sources.
Role type
Machine Learning Engineer (Detection Systems)
Builds
Scalable detection systems for AI-native social engineering defense platform
Domain
Cybersecurity / Social Engineering Defense / Digital Risk Protection
Deliverable
production ML models
Required skills
Model design and deployment, NLP, embeddings, similarity search, classification, anomaly detection, large-scale dataset handling, distributed data processing
Preferred skills
Experience with production ML systems, understanding trade-offs between research and production models
Technologies
NLP frameworks, embedding models, similarity search engines, distributed processing frameworks
Responsibilities
Design and deploy models for batch and real-time inference, partner with Detection and Infrastructure teams to scale ML systems, translate real-world threats into production ML systems
Seniority
Mid-level, hands-on IC