Malware Researcher (Cybersecurity)

Location: On-site in Timișoara, Timiș, Romania

Company

hirify.global develops cybersecurity technology for protecting IT, OT, and ICS critical infrastructure, networks, devices, and compliance requirements.

What you will do

• Translate malware detection problems into well-defined machine learning problems with hypotheses, baselines, and success criteria.
• Build, label, version, and maintain datasets for model training and evaluation.
• Design, train, tune, and analyze machine learning models, feeding error findings back into data, features, and architecture.
• Define evaluation protocols, metrics, data splits, held-out test sets, and thresholds based on false-positive rate and latency constraints.
• Deploy models to production on AWS with MLOps and software engineering teams, including packaging and inference optimization.
• Monitor deployed models for drift, drive retraining, document reproducible experiments, and present results and trade-offs.

Requirements

• 3+ years of hands-on experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist, including models delivered to production.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong Python and scientific-stack skills, including NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
• Solid understanding of statistics and machine learning fundamentals, including bias and variance, class imbalance, leakage, and calibration.
• Practical AWS experience for data storage and training workloads.
• Clear written and spoken English required.

Nice to have

• Experience with experiment tracking and model registries such as MLflow or Weights & Biases.
• Experience optimizing and packaging models for inference, including quantization, distillation, ONNX, or Docker.
• Knowledge of file formats, binary analysis, cybersecurity, threat detection, or other adversarial domains.
• Publications, open-source contributions, or a competitive machine learning track record.

Culture & Benefits

• Equal opportunity employment with a commitment to diversity and a workplace free from discrimination and harassment.