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
Skills You 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
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 ing technical judgment to questions about Internet-exposed hosts, services, and infrastructure
Salary and Benefits
For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range is $180,000 USD - $212,000 USD, plus bonus eligibility and equity. For other US locations, the expected salary range is $153,000 USD - $180,000 USD, plus bonus eligibility and equity. Actual salary depends on level of experience and geographic location. In addition to our great compensation package, our benefits are effective on day one and include but are not limited to: 401k match, health, vision, dental, and more! Please see our careers page for more details. Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US.
