Senior ML Engineer: Malware Detection (Remote)

Jobgether

Ireland

Remote

EUR 120,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Fully Remote Work
Flexible Working Hours
Paid Vacation
Public Holidays
Sick Leave
Healthcare Support
Wellness Benefits
Learning and Development
Innovation Rewards
Dedicated Technical Resources
Challenging Technical Work
AI-Enabled Engineering Environment

Job summary

Jobgether is seeking a Senior ML Engineer for malware detection, working remotely from Ireland. You will design and deploy ML models on real malware data, exploring transformers and AI-assisted workflows to improve detection and reduce false positives.

Collaboration with analysts, infra teams, and ML engineers is essential. You will lead end-to-end ML lifecycle, from data to production, with emphasis on evaluation rigor, scalable deployment, and continuous learning from new threats in a

Qualifications

  • 5+ years of production ML experience in adversarial domains, cybersecurity preferred.
  • Transformer model training/fine-tuning incl. LoRA/QLoRA; beyond API use.
  • Classical ML knowledge with calibration and handling class imbalance.
  • Rigorous evaluation with leakage-free time/malware family splits.
  • Optimization for CPU/memory and cost; experience with ONNX, llama.cpp, vLLM.
  • Strong Python, PyTorch, Hugging Face; SQL with ClickHouse.
  • Proficiency in English (B2+) for technical docs and async collaboration.

Responsibilities

  • Develop and deploy ML models to improve malware detection coverage and reduce false positives.
  • Classify malware vs benign content and triage samples for detectors.
  • Generate detection signatures from emerging campaigns to help analysts respond faster.
  • Apply context-aware detection for phishing, webshells, and script injections.
  • Improve detection accuracy and cleanup effectiveness across hosting fleets.
  • Design robust evaluation frameworks and prevent data leakage before production.
  • Optimize throughput, latency, and resource usage for scalable deployment.
  • Move models from experimentation to production with shadow deployments.
  • Incorporate analyst feedback and retraining cycles for evolving threats.
  • Maintain reusable training pipelines and GPU resource management.
  • Collaborate with analysts, engineers, and infra teams to translate findings.
  • Document architecture, evaluation methods, and production results.

Skills

Production ML Experience
Transformer Expertise
Evaluation Discipline
Python
PyTorch
Hugging Face
SQL
ClickHouse
PHP
JavaScript
AI-Assisted Dev
English B2
Ownership
Collaboration
ONNX
llama.cpp
vLLM
Int8 Quantization
Int4 Quantization

Tools

Go
Rust
Go/Rust for on-server inference

Job description

Jobgether is seeking a Senior ML Engineer for malware detection, working remotely from Ireland. You will design and deploy ML models on real malware data, exploring transformers and AI-assisted workflows to improve detection and reduce false positives.

Collaboration with analysts, infra teams, and ML engineers is essential. You will lead end-to-end ML lifecycle, from data to production, with emphasis on evaluation rigor, scalable deployment, and continuous learning from new threats in a

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