Machine Learning Engineer (Detection, TOR)

Join Doppel, an AI-native social engineering defense platform. As a Machine Learning Engineer, you will design, train, and deploy models for detecting malicious content across various data sources. You will collaborate with internal teams and customers to translate real-world threats into production ML systems. Enjoy benefits such as health coverage, flexible time off, and a home office setup.

• Design, train, and deploy machine learning models for batch and real-time inference to identify malicious content.
• Collaborate with Detection and Infrastructure teams to ensure machine learning systems scale with the volume of web data.
• Work on a variety of problems including NLP, embeddings, similarity search, classification, and anomaly detection.
• Are excited about solving real-world problems where the adversary is constantly evolving
• Have experience building and deploying ML systems in production environments
• Understand the trade-offs between research-quality models and production-ready systems
• Are comfortable working with large-scale datasets and distributed data processing frameworks