Job Description

CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.

Responsibilities:
  • 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
Required Qualifications:
  • 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam.
  • You have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs.
  • Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM.
  • Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline.
  • Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4).
  • Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar).
  • Familiarity with PHP or JavaScript, or willingness to pick it up working with our malware analysts.
  • You use AI coding agents daily and can show how.
  • English at upper-Intermediate (B2) level or higher, with particularly strong written communication for async work.
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.
Nice To Have:
  • Web malware, webshells, phishing kits or WordPress security experience.
  • Models over code: AST or token features, code LLMs, graph models on program structure.
  • Malware clustering and similarity analysis.
  • Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning.
  • Go or Rust, for on-server inference.
  • Published work or talks on ML for security.
Skills:
  • Python
  • PyTorch
  • Hugging Face
  • SQL
  • PHP
  • JavaScript
Technologies:
  • ClickHouse
  • ONNX
  • llama.cpp
  • vLLM
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