Doppel is building AI-native defenses against social engineering threats. We are seeking a machine learning engineer to design, train, and deploy models for both batch and real-time inference, across diverse data sources.
You will work with Detection and Infrastructure teams to scale ML systems as web data grows, tackling NLP, embeddings, similarity search, classification, and anomaly detection. You will partner with customers and internal stakeholders to translate real-world threats into
#J-18808-LjbffrML Engineer – Detection for AI-Driven Threat Defense in san francisco at Unknown Company
This position is listed as full time and onsite.