Censys
SeniorSecurityDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Security Data Engineer at Censys. Skills: Analyze large-scale Internet data, build features, labels, and datasets for AI/ML models, transform raw Internet telemetry into enriched, model-ready data, classify entities as benign, suspicious, or malicious, support AI powered solutions for Security Operations Center (SOC) initiatives, add richer context, improve classification, and show complex relationships across assets and services. Analyze Censys telemetry and derived datasets to identify ”
Industry & Context.
turning ambiguous data into usable information that solves security problems; applying technical judgment to questions about Internet-exposed hosts, services, and infrastructure
What They're Looking For.
Must Have
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, programming skills in Go/Python (or similar), experience using SQL (or similar) tools to analyze large datasets, communication skills, Comfort working with security-relevant data and applying technical judgment to questions about Internet-exposed hosts, services, and infrastructure
Nice to Have
Experience building feature pipelines, labeling systems, or training datasets for security, fraud, reputation, or risk scoring models, Experience with Internet measurement, asset intelligence, network security, or large-scale telemetry analysis, Familiarity with common Internet protocols and technologies such as HTTP, TLS, DNS, SSH, SMTP, and PKI/certificates, Familiarity with ML techniques such as classification, clustering, similarity scoring, anomaly detection, or data science in general, Understanding of how attackers, exposed services, misconfigurations, and infrastructure patterns can manifest in Internet-scale data
What You'll Do.
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
and labelling strategies for models that classify entities as benign
Work on multi-layer labeling and classification problems
where categories such as device type
or edge service may need to be identified before risk classification
Build tooling to support the efforts listed above
How You'll Work.
Team & Collaboration
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
Communication Scope
communication skills; ability to work effectively with researchers, ML engineers, software engineers, and other security experts
Full Job Description
Company Background Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. Location: This position is remote within the United States. Role Summary: We’re looking to hire a Senior Security Data Engineer to analyze large-scale Internet data and help build the features, labels, and datasets that power our security-focused Artificial Intelligence (AI) / Machine Learning (ML) models. In this role, you will help turn raw Internet telemetry into enriched, model-ready data that improves how we classify and understand hosts, services, infrastructure, and more across the Internet. Your core focus areas will support such systems so they have the labelled security data required to classify entities as benign, suspicious, or malicious. This will add further AI powered solutions to support our Security Operations Center (SOC) initiatives. At Censys, we believe in working iteratively, but we’re always thinking about the big picture. We’re expanding our data platform and model-driven capabilities to make the Internet more explainable by adding richer context, improving classification, and showing complex relationships across assets and services. We’re looking for someone with an ownership mindset, is curious, can provide mentorship, and has a collaborative spirit for our mission. This role is intentionally distinct from a SOC analyst, threat hunter and rapid response type work; instead, it focuses on the context side of the problem: transforming labels, expert input, and telemetry into scalable model inputs and security-relevant data products. What You’ll Do: Analyze Censys telemetry and derived datasets to i
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