Machine Learning Engineer, Detection

Doppel•Toronto, ON

35d

About The Position

Doppel is building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. We are looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. 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. You will partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest. You will work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection. You will collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems.

Requirements

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

Responsibilities

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