Staff Machine Learning Engineer

Job Summary

To enhance the Dragos platform, the full-time remote Staff Machine Learning Engineer will design and implement production machine learning systems, collaborating with Data Engineers and product teams to develop AI/ML capabilities for threat detection and cybersecurity applications.

Key responsibilities

• Design and implement production-grade machine learning systems for cloud and on-premises environments
• Build and optimize ML model architectures for ICS/OT cybersecurity use cases, including threat detection and anomaly detection
• Develop robust data pipelines and ML workflows that support real-time and batch processing requirements

Required qualifications

• 6+ years of engineering experience with at least 4 years focused on machine learning implementations in production environments
• Strong software engineering foundation with expertise in Python and SQL, plus experience in an additional programming language (Go, Rust, Java, or JVM-family languages)
• Demonstrated experience building and deploying ML systems using modern frameworks and libraries (e.g., scikit-learn, PyTorch, TensorFlow)
• Experience with MLOps practices, including model versioning and deployment in high-reliability environments
• Cybersecurity domain knowledge, particularly in threat detection or ICS/OT operations