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Senior Security Data Engineer
CensysSenior Security Data Engineer at Censys analyzing large-scale Internet data for AI/ML models. Focusing on transforming telemetry into usable security data for operational improvements.
Tech Stack
Tools & technologiesGoPythonSQL
About the role
Key responsibilities & impact- Analyze Censys telemetry and derived datasets to identify signals that improve AI/ML model training for classification that affects security outcomes
- Build and improve training and evaluation datasets using Internet telemetry, manually curated labels, and analyst-reviewed data
- Drive feature discovery, feature selection, and labelling strategies for models that classify entities as benign, suspicious, or malicious
- Work on multi-layer labeling and classification problems, where categories such as device type, router, honeypot, or edge service may need to be identified before risk classification
- Partner with Research / Detection teams to translate security domain expertise into actionable workflows
- Collaborate with ML engineers and software engineers to ensure features, labels, and model inputs are practical to productionize
- Contribute to feedback loops and evaluation frameworks that improve precision, recall, confidence, and coverage over time
- Build tooling to support the efforts listed above
Requirements
What you’ll need- 5+ years of experience in research or software engineering with a security data focus
- Experience analyzing large datasets and turning ambiguous data into usable information that solves security problems
- Strong programming skills in Go/Python (or similar), plus experience using SQL (or similar) tools to analyze large datasets
- Strong communication skills and the ability to work effectively with researchers, ML engineers, software engineers, and other security experts
- Comfort working with security-relevant data and applying technical judgment to questions about Internet-exposed hosts, services, and infrastructure.
Benefits
Comp & perks- 401k match
- health
- vision
- dental
- more!
ATS Keywords
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Hard Skills & Tools
AI/ML model trainingdata analysisfeature discoveryfeature selectionlabeling strategiesprogramming in Goprogramming in PythonSQLdataset evaluationdata curation
Soft Skills
communicationcollaborationtechnical judgmentproblem-solvinginterpersonal skills