Senior Security Data Engineer

2 hours, 50 minutes ago
Full-time
Senior
Data Science and Analytics
Censys

Censys

Censys provides security teams with a comprehensive and accurate mapping of the internet, enabling them to effectively defend against attack surfaces and proactively hunt for threats.

IT Services
51-250
Founded 2017
$53M raised

Description

  • Analyze Censys telemetry and derived datasets to identify signals that improve AI/ML model training and 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 labeling strategies for entities classified as benign, suspicious, or malicious.
  • Work on multi-layer labeling problems, including identifying device types, routers, honeypots, and edge services before risk classification.
  • Partner with Research and 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 production-ready.
  • Contribute to feedback loops and evaluation frameworks that improve precision, recall, confidence, and coverage over time.
  • Build tooling to support dataset creation, labeling, and model-input workflows.

Requirements

  • 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 languages.
  • 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 security experts.
  • Comfort working with security-relevant data and applying technical judgment to Internet-exposed hosts, services, and infrastructure.
  • Experience building feature pipelines, labeling systems, or training datasets for security, fraud, reputation, or risk scoring models (preferred).
  • Experience with Internet measurement, asset intelligence, network security, or large-scale telemetry analysis (preferred).
  • Familiarity with Internet protocols and technologies such as HTTP, TLS, DNS, SSH, SMTP, and PKI/certificates (preferred).
  • Familiarity with ML techniques such as classification, clustering, similarity scoring, anomaly detection, or data science in general (preferred).

Benefits

  • Remote work within the continental United States.
  • Salary range of $180,000 to $212,000 for high cost of living areas, with bonus eligibility and equity.
  • Salary range of $153,000 to $180,000 for other U.S. locations, with bonus eligibility and equity.
  • 401(k) match.
  • Health insurance coverage.
  • Vision insurance coverage.
  • Dental insurance coverage.
  • Benefits effective on day one.

Interested in this position?

Apply directly on the company website

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