2 days ago
Remote, United StatesSenior
Base Salary
$190k - $190k/yr
Responsibilities
- Apply clustering, classification, anomaly detection, and other established ML techniques to ICS/OT cybersecurity data problems.
- Integrate ML model outputs into batch and near-real-time data pipelines and product workflows.
- Translate research outputs into reliable, maintainable pipeline components with clear data contracts, observability, and failure handling.
- Evaluate open-source and third-party models for specific use cases and determine when model-building work is needed.
- Write, test, maintain, and extend software in Python or Rust.
- Troubleshoot production ML components, including output-quality issues, data drift, and unexpected edge cases.
- Communicate model behavior, uncertainty, tradeoffs, and appropriate downstream use to technical and non-technical stakeholders.
Requirements
- 5+ years of software engineering experience, including meaningful production work with ML outputs or data pipelines.
- Strong Python skills, SQL proficiency, and comfort reasoning about data at scale.
- Hands-on experience with clustering, including k-means, DBSCAN, and hierarchical clustering, as well as classification and anomaly detection.
- Familiarity with scikit-learn and the broader Python ML ecosystem.
- Understanding of data pipeline concepts, transformations, failure modes, and observability.
- Ability to assess whether model outputs are trustworthy for a use case, beyond evaluating accuracy metrics.
- Strong written and verbal communication skills.
- Cybersecurity knowledge involving threat detection, network behavior, or ICS/OT operations is a plus rather than a prerequisite.
- Experience with graph-based representations, stream processing, event-driven architectures, Docker, or Kubernetes is a nice-to-have.
Benefits
- Remote-first work arrangement.
- $190,000 salary.
- Competitive equity package.
- Comprehensive benefits plan.
Tech Stack
Categories
About Dragos
Dragos builds OT/ICS cybersecurity software and services for operators of industrial and critical infrastructure. The Dragos Platform provides asset visibility, vulnerability management, and threat detection across OT, IT, IoT, and IIoT, complemented by OT threat intelligence and incident response services. Founded in 2016 and headquartered in Hanover, Maryland, it serves sectors including electric power, oil and gas, manufacturing, water, transportation, mining, and government.