Machine Learning Engineer, Detection (TOR)
Toronto, ONCA$183k - CA$429.4kFull-timePosted 5mo ago
About the role
Machine Learning Engineer focused on building and scaling detection models and systems for Doppel’s AI-native social engineering defense platform, spanning batch and real-time inference across diverse data sources.
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
Skills
Required:Production ML systemsLarge-scale datasetsThreat problem solving
Nice to have:Research-to-production trade-offs
Benefits
- A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
- Free lunch and dinner in the office
- Flexible PTO
- Quarterly team offsites
Last updated Sep 3, 2026. Interested? Apply on the company site.
About Doppel
The world's first platform for Social Engineering Defense.
By pairing cutting-edge AI with expert analysis, we outpace threats like phishing, impersonation, and disinformation—delivering comprehensive coverage, speed, and precision.
Social Engineering DefenseAI securityThreat intelligenceBrand protectionExecutive protectionSocial engineering
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