Machine Learning Engineer, Detection (TOR)

What We're Looking For

We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. Check out our blog post on how we set up our ML platform. As an MLE at Doppel, you will

• Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
• Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest
• Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
• Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems

You may be a fit if you

• Have experience building and deploying ML systems in production environments
• Are comfortable working with large-scale datasets and distributed data processing frameworks
• Understand the trade-offs between research-quality models and production-ready systems
• Are excited about solving real-world problems where the adversary is constantly evolving