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
Robust 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.