Staff Machine Learning Engineer (Cybersecurity)

TL;DR

Staff Machine Learning Engineer (Cybersecurity): Designing and implementing production-grade machine learning systems for ICS/xOT cybersecurity applications with an accent on threat detection, anomaly detection, and NLP. Focus on building scalable ML pipelines, optimizing model performance for cloud and on-premises environments, and collaborating with cross-functional teams to deliver actionable security intelligence.

Location: Must be based in the United States

Salary: $190,000

Company

hirify.global is a global leader in industrial cybersecurity, protecting critical infrastructure systems through technology, threat intelligence, and expert services.

What you will do

• Design and implement production-grade ML systems for cloud and resource-constrained on-premises environments.
• Build and optimize ML model architectures for threat detection, asset classification, and anomaly detection.
• Develop robust data pipelines and ML workflows supporting real-time and batch processing.
• Collaborate with OT detection experts to translate research prototypes into scalable production systems.
• Establish data contracts and implement observability frameworks for ML pipelines.
• Contribute to ML infrastructure, including CI/CD pipelines and containerized deployment strategies.

Requirements

• 6+ years of engineering experience with 4+ years focused on production ML implementations.
• Strong software engineering foundation in Python and SQL, plus experience with Go, Rust, or Java.
• Proven experience building and deploying ML systems using frameworks like PyTorch, TensorFlow, or HuggingFace.
• Expertise in MLOps practices including model versioning, monitoring, and pipeline orchestration.
• Familiarity with data engineering concepts, containerized deployments, and cloud-native architectures.
• Must be authorized to work in the United States and pass a background check.

Nice to have

• Experience with LLMs, retrieval-augmented generation (RAG), or advanced NLP techniques.
• Domain knowledge in cybersecurity, threat intelligence, or ICS/OT operations.

Culture & Benefits

• Mission-driven work protecting critical infrastructure.
• Remote-first team culture built on authenticity, transparency, and trust.
• Competitive equity package.
• Comprehensive benefits plan.