2 months ago
Remote, United StatesSenior
Base Salary
$151k - $206k/yr
Responsibilities
- Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
- Own applied ML workflows that transform raw Internet telemetry into context for internal systems and customer-facing products.
- Develop feature pipelines, training datasets, model evaluation frameworks, confidence scoring systems, and cloud or on-premises services.
- Partner with engineering, research, security, and product teams to select models and datasets and improve coverage and quality.
- Write understandable, testable, and maintainable code and communicate model behavior and tradeoffs to technical and product stakeholders.
Requirements
- At least 5 years of experience in data science, machine learning engineering, or software engineering with applied machine learning responsibilities.
- Experience building and deploying machine learning or statistical models in production environments.
- Programming experience in Go or Python and familiarity with maintainable software engineering practices.
- Experience working with large datasets and building pipelines for feature generation, training, or inference.
- Proficiency with supervised and unsupervised learning techniques, including classification, clustering, similarity scoring, or anomaly detection.
- Ability to evaluate models using sound statistics and understand precision, recall, accuracy, and confidence tradeoffs.
- Strong communication skills for explaining technical concepts, model behavior, and tradeoffs to engineers, researchers, and product managers.
- Preferred experience includes classification, enrichment, or labeling systems for messy or partially labeled data; Kubernetes; AWS, Azure, or GCP; feature stores; model serving; MLOps workflows; experiment tracking; security; Internet measurement; or network-derived datasets.
Benefits
- Remote position open to employees across the continental United States.
- Benefits include equity, health, dental and vision coverage, retirement contributions, parental leave, mental health and wellness benefits, flexible PTO, and a professional development stipend.
- Eligible non-sales roles may participate in an annual bonus plan.
- In-person onboarding at the Ann Arbor headquarters is offered.
Categories
About Censys
Censys builds Internet intelligence and attack surface management tools for security teams, delivered via SaaS and data APIs. It maps public-facing assets and services through continuous internet-wide scanning and maintains petabytes of historical data to power threat investigation and exposure monitoring. Founded in 2017 and headquartered in Ann Arbor, Michigan, Censys is privately held and used by governments and Fortune 500 enterprises.