Senior ML Engineer - Email Security (remote work)

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SeniorZdalnie·WarszawaFull-time

#466187·Dodano 2 dni temu·0

Źródło: Cloudlinux

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Tech Stack / Keywords

PyTorch Go Python LinuxONNXtransformersSMTPMIMErspamdSpamAssassin

Podsumowanie oferty

You will develop and improve Imunify Email, an email security product protecting hosting servers from spam, phishing, and other email-based threats. The role combines spam-detection model training and production rollout with building the new engine in Go and working with transformer models.

Wymagania

Required:

5+ years shipping detection or classification systems where false positives have a cost, such as anti-spam, anti-phishing, anti-malware, fraud, or abuse systems.
Personally take at least one ML classifier to production, including corpus construction, threshold selection, and error analysis.
Hands-on transformer training in PyTorch, including tokenizers, masked-language pre-training, fine-tuning, ONNX export, and CPU inference measurement.
Use Linux, shell, and Python on shared servers and a shared GPU.
Daily use of AI coding agents and tools.
English at upper-intermediate (B2) level or higher, with strong written communication for technical documentation, specifications, and code reviews.

Nice to have:

Email internals: SMTP, MIME, transfer encodings, SPF, DKIM, DMARC, and how Exim, Postfix, and Dovecot handle mail to a filter.
Experience creating embedded models.
Go or Rust for systems code, including parsers, streaming, memory budgets, and concurrency.
rspamd or SpamAssassin internals, including rules, composites, Lua plugins, and mass-check scoring.
Experience with multi-million-sample corpora, labelling pipelines, or annotator tooling.
Experience with small models for constrained hardware, including quantization, distillation, and latency budgets.
LLM-based labelers or validators for scaling annotation.
Hosting panels such as cPanel, Plesk, or DirectAdmin.

Obowiązki

What you will do:

Train, evaluate, and release spam-detection models, including building the corpus, selecting thresholds, reviewing precision/recall reports, and deciding whether to ship or retrain.
Build the production side of the new engine in Go, including the inference service, mail-filter integration, tokenizer, and streaming message parser.
Improve detection quality from customer reports through rules, corpus fixes, or retraining, weighing the cost of false positives against detection.
Keep corpus tooling and training infrastructure running.
Review and approve classifier, rule, and model changes.
Explain message scores to partner engineers.
Write specifications, handbooks, and post-mortems.

Your first six months:

Month 1: Ship a rule-model release independently.
Month 3: Merge the first piece of the new engine and run it on staging.
Month 6: Release a model while the principal engineer is away.

Benefity

Flexible working hours.
24 days of vacation per year, 10 days of national holidays, and unlimited sick leave.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Education budget.
Opportunity to receive a reward for the most innovative idea that the company can patent.

Elastyczne godziny

Płatne święta

Opieka zdrowotna

Dofinansowanie szkoleń

Inne informacje

The position can be performed remotely from any location worldwide.

CloudLinux

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