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.

📌 ML Engineer for Detection Systems at Doppel (Toronto)
🏢 Doppel
📍 Toronto