At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people areimmediatelyat risk.We are the global leader inxOTcybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understandwhat isat stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place. About the Role:
We'reseeking an experienced Staff Machine Learning Engineer to join our Engineering team. In this role,you'lldrive the design and implementation of production machine learning systems within the Dragos platform. Working closely with Data Engineers and product teams,you'llbuild 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 andoptimizeML 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 withOT detection expertsto translate research concepts and prototypes into scalable, production-ready ML systems.
- Partner with Data Engineers toestablishdata contracts and implement observability frameworks for ML pipelines, including monitoring, versioning, anddeploymentbest practices.
- Contribute to ML infrastructure improvements, including automated testing frameworks, CI/CD pipelines, and deployment strategies for containerized environments (Kubernetes, Docker).
- Evaluate and adaptstate-of-the-artML research and open-source models to domain-specific cybersecurity applications.
- Troubleshoot andoptimizeML model performance in production environments, addressing issues related to latency, accuracy, and resourceutilization.
Qualifications:
- 6+ years of engineering experience with at least 4 years focused on machine learning implementations in production environments.
- Strong software engineering foundation withexpertisein Python and SQL as well as experience with at least oneadditionallanguage (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.
- Proventrack recordimplementing ML solutions such as classification systems, time series analysis, anomaly detection, or NLP applications that deliver measurable business impact.
- Experience withMLOpspractices, 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 communicationskills 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:
- Competitive Equity Package
- Comprehensive Benefits Plan
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Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment. |
Dragos, Inc.
Jul 21, 2026