Senior ML Engineer - Security AI for Web Malware

CloudLinux Inc.; Comunidad de Madrid; Remote; EUR 133.000 - 187.000; Vollzeit

Benefits dieser Stelle

Fully remote work

Paid vacation

Private medical insurance

Education budget

Co-working stipend

Zusammenfassung

CloudLinux is seeking a Senior ML Engineer to turn a large malware dataset into production-grade detection models and signatures. You will build models, pipelines, and tooling that scale across our fleet, aiming for 10x more detections with the same or lower FP rate.

You'll work with malware analysts and software engineers, using Python, PyTorch, and Hugging Face, in a fully remote, async environment with ADR-Lite governance and GPU-backed experiments.

Qualifikationen

• 5+ years building ML systems.
• 2+ years in adversarial domains: security, abuse, fraud, or spam.
• Trained and fine-tuned transformer models — data prep, tokenizing code, LoRA/QLoRA, or full fine-tunes.
• Classic ML depth: gradient boosting, linear models on sparse features, calibration.
• Evaluation discipline: time- and family-aware splits, FP/FN regression sets.
• Inference cost engineering: measured throughput/latency, CPU/memory budget.
• Strong Python, PyTorch and Hugging Face; SQL.
• Familiarity with PHP or JavaScript.
• English at upper-Intermediate (B2) level.

Aufgaben

• 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.

Kenntnisse

ML systems

Transformer models

Python

PyTorch

Hugging Face

SQL

PHP/JavaScript familiarity

English communication (B2+)

Tools

Git

Docker

Kubernetes

Jobbeschreibung

CloudLinux is seeking a Senior ML Engineer to turn a large malware dataset into production-grade detection models and signatures. You will build models, pipelines, and tooling that scale across our fleet, aiming for 10x more detections with the same or lower FP rate.

You'll work with malware analysts and software engineers, using Python, PyTorch, and Hugging Face, in a fully remote, async environment with ADR-Lite governance and GPU-backed experiments.