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 experience in deploying ML systems
• Competency with large-scale data processing frameworks
• Understanding of the balance between research and production needs
• Committed to solving up-to-date digital security challenges
• Ability to interact and collaborate with clients

Apply your machine learning skills to strengthen Doppel’s mission of providing a safer online environment.
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📌 ML Engineer for Detection Systems at Doppel (Ontario)
🏢 Doppel
📍 Ontario