Senior Machine Learning Engineer

Censys

Senior Machine Learning Engineer developing systems that classify and enrich Internet data. Building models and ML workflows for internal and customer-facing products.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $150,000 - $188,000 per yearWebsite

Tech Stack

Tools & technologies

CloudGoPython

About the role

Key responsibilities & impact

Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
Own the design and development of applied ML workflows that turn raw Internet telemetry into usable context for internal systems and customer-facing products.
Partner with engineering, research, security, and product teams to ensure we’re building the right models, datasets, and feedback loops to improve coverage and quality.
Leverage your experience in machine learning, data science, and software engineering to build various parts of the system, including components like: feature pipelines, training datasets, model evaluation frameworks, confidence scoring systems, and services that run in the cloud or on-prem.

Requirements

What you’ll need

5+ years of experience in data science, machine learning engineering, or software engineering with applied ML responsibilities.
Experience building and deploying machine learning or statistical models in production environments.
Experience programming in Go/Python, and familiarity with software engineering practices for building maintainable systems.
Experience working with large datasets and building data pipelines for feature generation, training, or inference.
Proficiency with supervised and unsupervised learning techniques, such as classification, clustering, similarity scoring, or anomaly detection.
Ability to evaluate models using sound statistics and understand tradeoffs related to precision, recall, accuracy, and confidence.
Ability to write understandable, testable code with an eye towards maintainability.
Possess strong communication skills and can explain technical concepts, model behavior, and tradeoffs to engineers, researchers, and product managers.
Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Benefits

Comp & perks

Equity
Health, dental & vision coverage
Retirement with company contribution
Parental leave
Mental health & wellness benefits
Flexible PTO
Professional development stipend
Sales incentive pay for most sales roles
Annual bonus plan for eligible non-sales roles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata sciencesoftware engineeringGoPythondata pipelinesfeature generationsupervised learningunsupervised learningmodel evaluation

Soft Skills

communication skillscuriositywillingness to learnsound judgment