Description
Doppel is hiring a Machine Learning Engineer to design, train, and deploy batch and real-time models that detect malicious or infringing content across web data, social media, apps, and other digital sources. The role partners with Detection and Infrastructure teams, works on NLP, embeddings, similarity search, classification, and anomaly detection, and translates customer-facing threat signals into production systems. Candidates should have experience deploying machine learning systems in production, working with large-scale datasets and distributed data processing, and understanding the trade-offs between research-quality and production-ready models.
