Senior ML Engineer - Malware Detection (remote work)

Responsibilities

• The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might.
• Decide which files on a server deserve a closer look, within tight CPU and memory budgets
• Tell malicious code from benign at fleet scale and a sensible cost per file
• Generate detection signatures automatically from new campaigns
• Catch malware that only looks malicious in context, such as phishing pages and script injections
• Route each file to the right detection engine
• Make cleanup precise so sites stay clean afterwards
• Prove each model improves detection before it ships
• You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions.
• Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default.

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