Senior ML Engineer - Email Security, Remote

CloudLinux Inc.; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Vacation days

Holidays

Sick leave

Medical insurance

Co-working reimbursement

Education budget

Innovation reward

Job summary

CloudLinux Inc. is seeking a Senior Machine Learning Engineer to join the team and drive development, improvement, and production rollout of our email security technology.

You will train and release spam-detection models, build the production inference engine in Go, and ensure high-quality detection across the pipeline. In this remote-friendly role, you will work on transformer-based models, CPU inference, and email filtering integration while collaborating with engineers to ship robust security

Qualifications

• 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.
• 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.
• English at upper-Intermediate (B2) level or higher, with strong written communication for technical docs and reviews.

Responsibilities

• Train, evaluate, and release spam-detection models: build corpus, threshold, precision/recall, decide ship or retrain.
• Build production Go engine: inference service, mail-filter integration, tokenizer, streaming parser.
• Fix detection quality end-to-end, from customer feedback to rule/corpus fix or retrain, balancing false positives and catches.
• Maintain corpus tooling and training infra; review classifier/rule/model changes; ensure smooth releases.
• Answer partner engineers on why a message scored as it did; write specs, handbooks, post-mortems.

Job description

CloudLinux Inc. is seeking a Senior Machine Learning Engineer to join the team and drive development, improvement, and production rollout of our email security technology.

You will train and release spam-detection models, build the production inference engine in Go, and ensure high-quality detection across the pipeline. In this remote-friendly role, you will work on transformer-based models, CPU inference, and email filtering integration while collaborating with engineers to ship robust security