Senior AI/ML Engineer

About the Role:  
We're seeking an experienced Staff Machine Learning Engineer to join our Engineering team. In this role you'll drive the design and implementation of production machine learning systems within the Dragos platform. Working closely with Data Engineers and product teams you'll build and deploy AI/ML capabilities that enhance threat detection automate security analysis and deliver actionable intelligence for Industrial Control System (ICS) and Extended Operational Technology (xOT) cybersecurity applications.  
 

Responsibilities:  

• Design and implement production-grade machine learning systems that expand Dragos product capabilities with consideration for both cloud and resource-constrained on-premises environments.  

• Build and optimize ML model architectures for ICS/xOT cybersecurity use cases including threat detection asset classification behavioral analysis anomaly detection and natural language processing systems. 

• Develop robust data pipelines and ML workflows that integrate with existing data infrastructure supporting both real-time and batch processing requirements. 

• Collaborate with OT detection experts to translate research concepts and prototypes into scalable production-ready ML systems. 

• Partner with Data Engineers to establish data contracts and implement observability frameworks for ML pipelines including monitoring versioning and deployment best practices. 

• Contribute to ML infrastructure improvements including automated testing frameworks CI/CD pipelines and deployment strategies for containerized environments (Kubernetes Docker). 

• Evaluate and adapt state-of-the-art ML research and open-source models to domain-specific cybersecurity applications. 

• Troubleshoot and optimize ML model performance in production environments addressing issues related to latency accuracy and resource utilization.  

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 as well as experience with at least one additional language (Go Rust Java or JVM-family languages). 

• Demonstrated experience building and deploying ML systems using modern frameworks and libraries (scikit-learn PyTorch TensorFlow HuggingFace or similar). 

• Experience with LLMs retrieval-augmented generation (RAG) or advanced NLP techniques is beneficial. 

• Proven track record implementing ML solutions such as classification systems time series analysis anomaly detection or NLP applications that deliver measurable business impact. 

• Experience with MLOps practices including model versioning monitoring pipeline orchestration and deployment in high-reliability environments. 

• Familiarity with data engineering concepts including data pipelines stream processing message queuing and working with medium-to-large scale datasets. 

• Knowledge of containerized deployment solutions and cloud-native architectures. 

• Strong communication skills with the ability to explain technical concepts to diverse stakeholders and collaborate effectively across teams. 

• Cybersecurity domain knowledge particularly in threat detection threat intelligence or ICS/OT operations.

Compensation: 

• Salary:  $190000.00

• Competitive Equity Package  

• Comprehensive Benefits Plan 

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What We Do

Dragos is an industrial (OT/ICS/IIoT) cybersecurity company on a mission to safeguard civilization. Our integrated software platform provides critical visibility into ICS and OT networks so that threats are identified and can be addressed before they become significant events our solutions are optimized for emerging applications like the Industrial Internet of Things (IIoT) enabling our clients in power and water utilities energy and manufacturing industries to establish a resilient and adaptable security posture.