Remote Applied ML Engineer for ICS/OT Security

Dragos, Inc.; United States; On-site; USD 171,000 - 209,000; Full time

Benefits offered by this job

Competitive Equity Package

Comprehensive Benefits Plan

Job summary

Dragos, Inc. is seeking a Machine Learning Application Engineer to join our Engineering team. This role sits at the intersection of data engineering and applied ML, wiring techniques into existing workflows and ensuring reliable outputs.

You will work with AI Engineers, Data Engineers, and product teams to bring ML-driven capabilities into the Dragos platform, including clustering network behaviors and surfacing anomalies for ICS/OT security analysts.

Qualifications

• 5+ years of software engineering with ML outputs or data pipelines in production.
• Strong Python skills; SQL proficiency; comfort reading and reasoning about data at scale.
• Experience applying ML techniques including clustering, classification, anomaly detection.
• Familiarity with scikit-learn and the surrounding Python ML ecosystem.

Responsibilities

• Apply clustering, classification, anomaly detection to cybersecurity ICS/OT data.
• Integrate ML outputs into data pipelines and product workflows, supporting batch and near-real-time processing.
• Understand model behavior and translate research outputs into reliable pipeline components.
• Work with Data Engineers to ensure ML-driven stages of the pipeline have clear data contracts, observability, and sane failure modes.
• Evaluate open-source and third-party models for fit against use cases; decide when to reuse or build.
• Write clean, maintainable Python or Rust code that others can reason about, test, and extend.
• Troubleshoot ML component behavior in production to diagnose data drift or edge cases.
• Communicate clearly about what a model is doing, where it's uncertain, and how outputs should be used downstream.

Skills

Strong Python skills

SQL proficiency

Data pipeline reasoning

Good communication

ML model evaluation mindset

Education

Bachelor's degree in CS/SE or related

Tools

scikit-learn

Docker

Kubernetes

Job description

Dragos, Inc. is seeking a Machine Learning Application Engineer to join our Engineering team. This role sits at the intersection of data engineering and applied ML, wiring techniques into existing workflows and ensuring reliable outputs.

You will work with AI Engineers, Data Engineers, and product teams to bring ML-driven capabilities into the Dragos platform, including clustering network behaviors and surfacing anomalies for ICS/OT security analysts.