Senior ML Engineer — Build Internet Intelligence (Remote)

Censys; Little Canada (MN); Remote; USD 140,000 - 200,000; Full time

Job summary

Censys is seeking a Senior Machine Learning Engineer to build models and data-driven systems that classify, label, and enrich Internet data. You will help transform raw telemetry into high-quality datasets and insights, enabling products and customers to better understand digital risk.

Join a collaborative team expanding our data platform to support future products, with opportunities to work across cloud and on-prem environments and contribute to a mission-driven security startup with Midwest

Qualifications

• 5+ years of experience in data science, ML engineering, or software with applied ML responsibilities.
• Experience building and deploying machine learning or statistical models in production environments.
• Experience programming in Go/Python with maintainable software practices.
• Experience with large datasets and data pipelines for feature generation, training or inference.
• Proficiency with supervised and unsupervised learning techniques (classification, clustering, similarity scoring, anomaly detection).
• Ability to evaluate models using sound statistics and understand precision/recall/accuracy/confidence tradeoffs.
• Ability to write understandable, testable code and communicate technical concepts to engineers, researchers, and product managers.

Responsibilities

• 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 experience in machine learning, data science, and software engineering to build components like feature pipelines, training datasets, model evaluation frameworks, confidence scoring systems, and cloud/on-prem services.

Skills

5+ years of experience in data science

Experience building ML models in prod

Go/Python programming

Large datasets & data pipelines

Supervised/unsupervised learning

Model evaluation & stats tradeoffs

Readable, testable code & strong comms

Tools

Go

Python

Job description

Censys is seeking a Senior Machine Learning Engineer to build models and data-driven systems that classify, label, and enrich Internet data. You will help transform raw telemetry into high-quality datasets and insights, enabling products and customers to better understand digital risk.

Join a collaborative team expanding our data platform to support future products, with opportunities to work across cloud and on-prem environments and contribute to a mission-driven security startup with Midwest