Protect websites and hosting fleets remotely from Canada by applying machine learning to phishing, webshells, and script injections. Evidence guides every model decision.
As a Senior ML Engineer for Malware Detection, you will improve coverage against threats traditional signatures and rules may miss. Your work includes contextual detection, cleanup optimization, and automated signature generation. You will collaborate with malware analysts, detection engineers, and infrastructure teams while owning models from research through production.
Key Responsibilities:
- Develop contextual detection for malicious web content
- Improve cleanup effectiveness and identify recurring threats
- Route samples to appropriate detection engines
- Incorporate analyst feedback and false negatives into retraining
- Production machine learning experience in cybersecurity, fraud, spam, or abuse
- Solid model evaluation under false-positive constraints
- Understanding of class imbalance and probability calibration
- PHP or JavaScript experience, or willingness to learn
- Strong written communication for asynchronous collaboration
Use contextual threat detection, malware analysis, and disciplined machine learning evaluation to improve security outcomes across large hosting fleets.