Senior Machine Learning Engineer - Remote Internet Intelligence

Censys; United States; Remote; USD 151,000 - 191,000; Full time

Benefits offered by this job

Equity

Health, dental & vision

Retirement plan

Parental leave

Mental health & wellness benefits

Flexible PTO

Professional development stipend

Job summary

Censys is seeking a Senior Machine Learning Engineer to build models and data-driven systems that classify, label, and enrich vast Internet data, delivering high-quality datasets and insights to customers. You’ll contribute to an expanding data platform, enabling future products with richer context and explainability across cloud and on‑prem environments.

Ideal candidates have 5+ years of applied ML, production experience, and proficiency in Go or Python.

Qualifications

• 5+ years of experience in data science, ML engineering, or software engineering with applied ML responsibilities.
• Experience building and deploying ML or statistical models in production environments.
• Experience programming in Go/Python and familiarity with maintainable software practices.
• Experience with large datasets and data pipelines for feature generation, training, or inference.
• Proficiency with supervised and unsupervised learning techniques and model evaluation.

Responsibilities

• Build and improve ML models and data-driven systems that classify, cluster, label, and enrich assets and services.
• Own the design and development of applied ML workflows for internal and customer-facing products.
• Collaborate with engineering, research, security, and product teams to improve models and data quality.
• Develop components like feature pipelines, training datasets, model evaluation frameworks, and cloud/on-prem services.

Skills

Applied ML

Production ML

Go/Python

Data pipelines

Model evaluation

Cloud/on-prem

Communication

Tools

Go

Python

Kubernetes

Job description

Censys is seeking a Senior Machine Learning Engineer to build models and data-driven systems that classify, label, and enrich vast Internet data, delivering high-quality datasets and insights to customers. You’ll contribute to an expanding data platform, enabling future products with richer context and explainability across cloud and on‑prem environments.

Ideal candidates have 5+ years of applied ML, production experience, and proficiency in Go or Python.