ML Engineer for Detection Systems at Doppel
toronto, on, Canada • Posted May 21, 2026
Job Type:
Full-time
Location:
toronto, on
Posted:
May 21, 2026
Category:
Other-General
Application Deadline:
June 30, 2026
Role Description
Be part of a revolutionary team at Doppel as a Machine Learning Engineer focused on detection systems. Your work will help counteract rising social engineering attacks across various digital channels.
As a Machine Learning Engineer at Doppel, you will play a pivotal role in building scalable detection models to combat digital threats. You'll design, train, and implement models capable of processing both batch and real-time data, collaborating with specialized teams to ensure system efficiency. Your expertise will contribute to addressing complex tasks, including NLP, classification, and anomaly detection.
Key Responsibilities:
• Build ML models for threat detection from myriad sources
• Collaborate with teams to advance scalable ML architectures
• Address challenges in anomaly detection and classification
• Work with clients to develop effective threat response systems
• Formulate solutions based on real-world adversarial scenarios
Requirements:
• Significant...
As a Machine Learning Engineer at Doppel, you will play a pivotal role in building scalable detection models to combat digital threats. You'll design, train, and implement models capable of processing both batch and real-time data, collaborating with specialized teams to ensure system efficiency. Your expertise will contribute to addressing complex tasks, including NLP, classification, and anomaly detection.
Key Responsibilities:
• Build ML models for threat detection from myriad sources
• Collaborate with teams to advance scalable ML architectures
• Address challenges in anomaly detection and classification
• Work with clients to develop effective threat response systems
• Formulate solutions based on real-world adversarial scenarios
Requirements:
• Significant...
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