Senior ML Engineer – Email Security

🔥 0 minutes ago

🌐 Poland, Bulgaria, +4 more countries – Remote

🇵🇱 Poland – Remote 🇧🇬 Bulgaria – Remote 🇲🇪 Montenegro – Remote 🇬🇪 Georgia – Remote 🇦🇲 Armenia – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CloudLinux

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

☁️ SaaS

🔐 Security

🌐 Web 3

SaaS • Security • Web 3

CloudLinux is a leading provider of operating systems designed specifically for web hosting environments. The company offers a line of products including CloudLinux OS Legacy, CloudLinux OS Shared Pro, and CloudLinux OS Solo, each tailored to improve server stability, security, and performance. With features such as kernel live patching, advanced automation and monitoring tools, and specialized WordPress optimization, CloudLinux helps hosting companies maximize security and profitability while ensuring stable server environments. Over 4,000 companies trust CloudLinux to power millions of websites worldwide, benefitting from increased stability and reduced churn rates. The company emphasizes compatibility with major hosting control panels and CentOS, offering solutions for shared hosts, agencies, and small businesses.

📋 Description

• Train, evaluate, and release spam-detection models: build the corpus, pick the threshold, read the precision/recall report, decide ship or retrain. • Build the production side of the new engine in Go: the inference service, mail-filter integration, tokenizer, and streaming message parser. • Fix detection quality end to end, from a customer's phishing report to a rule, corpus fix, or retrain, weighing false-positive cost against detection. • Keep corpus tooling and training infrastructure running. • Review and approve classifier, rule, and model changes. • Answer partner engineers' questions about message scoring. • Write specifications, handbooks, and post-mortems. • Month 1: ship a rule-model release independently. • Month 3: merge and run the first piece of the new engine on staging. • Month 6: release a model while the principal engineer is away.

🎯 Requirements

• 5+ years of shipping detection or classification systems where false positives have a cost you had to defend: anti-spam, anti-phishing, anti-malware, fraud, abuse. • You have taken at least one ML classifier to production yourself: corpus construction, threshold selection, error analysis. • Hands-on transformer training in PyTorch: tokenizers, masked-language pre-training, fine-tuning, ONNX export, CPU inference measurement. • Linux, shell, and Python on shared servers and a shared GPU. • Daily usage of AI coding agents and tools. • English at upper-Intermediate (B2) level or higher, with particularly strong written communication skills for technical documentation, specifications, and code reviews. • Strong plus: Email internals: SMTP, MIME, transfer encodings, SPF / DKIM / DMARC, how Exim, Postfix, and Dovecot handle mail to a filter. • Strong plus: Experience in creating embedded models. • Strong plus: Go or Rust for systems code: parsers, streaming, memory budgets, concurrency. • Strong plus: rspamd or SpamAssassin internals: rules, composites, Lua plugins, mass-check scoring. • Strong plus: Multi-million-sample corpora, labelling pipelines, annotator tooling. • Strong plus: Small models for constrained hardware: quantization, distillation, latency budgets. • Strong plus: LLM-based labelers or validators for scaling annotation. • Strong plus: Hosting panels: cPanel, Plesk, DirectAdmin.

🏖️ Benefits

• A focus on professional development. • Interesting and challenging projects. • Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. • Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. • Compensation for private medical insurance. • Co-working and gym/sports reimbursement. • Budget for education. • The opportunity to receive a reward for the most innovative idea that the company can patent.