Staff Machine Learning Engineer (Cybersecurity)

TL;DR

Staff Machine Learning Engineer (Cybersecurity): Design and implement production-grade machine learning systems for ICS/OT cybersecurity use cases including threat detection, anomaly detection, and NLP with an accent on cloud and resource-constrained on-premises environments. Focus on building scalable data pipelines, ML workflows, and MLOps infrastructure for real-time and batch processing.

Location: United States

Salary: $225,000

Company

Market leader in ICS/OT Cybersecurity protecting industrial organizations worldwide.

What you will do

• Build and optimize ML model architectures for threat detection, asset classification, behavioral analysis, and anomaly detection.
• Develop robust data pipelines and ML workflows integrating with existing infrastructure for real-time and batch processing.
• Collaborate with Data Scientists to productionize research prototypes and with Data Engineers on data contracts and observability.
• Improve ML infrastructure with automated testing, CI/CD, and containerized deployments using Kubernetes and Docker.
• Evaluate state-of-the-art ML models for cybersecurity applications and optimize production performance.

Requirements

• 6+ years engineering experience, 4+ years in production ML implementations
• Strong Python and SQL expertise plus one of Go, Rust, Java, or JVM languages
• Experience with ML frameworks like scikit-learn, PyTorch, TensorFlow, HuggingFace
• Proven ML solutions in classification, time series, anomaly detection, or NLP
• MLOps practices, data pipelines, stream processing, containerized deployments
• Strong communication skills for cross-team collaboration

Nice to have

• Experience with LLMs, RAG, advanced NLP
• Cybersecurity knowledge in threat detection, intelligence, or ICS/OT

Culture & Benefits

• Remote-first culture with operations in North America, Europe, Middle East, APAC
• Competitive equity package and comprehensive benefits plan
• Mission-oriented team focused on authenticity, transparency, trust