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 contentImprove cleanup effectiveness and identify recurring threatsRoute samples to appropriate detection enginesIncorporate analyst feedback and false negatives into retrainingInvestigate customer-reported detection failures collaborativelyRequirements:
Production machine learning experience in cybersecurity, fraud, spam, or abuseStrong model evaluation under false-positive constraintsUnderstanding of class imbalance and probability calibrationPHP or JavaScript experience, or willingness to learnStrong written communication for asynchronous collaborationUse contextual threat detection, malware analysis, and disciplined machine learning evaluation to improve security outcomes across large hosting fleets.