Machine Learning Engineer, Detection (NY)

Build and scale the models and systems that power Doppel’s detection platform by designing, training, and deploying batch and real-time models to identify malicious or infringing content across diverse data sources, working on NLP, embeddings, similarity search, classification, and anomaly detection while partnering with Detection and Infrastructure teams.