> Markdown version of [/jobs/ext/4705043-ml-engineer-ii-remote](https://www.wearedevelopers.com/jobs/ext/4705043-ml-engineer-ii-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ML Engineer II - Remote

- **Company:** TRENT HOEK OUTDOORS LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Big Data, Computer Programming, Data Infrastructure, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, Feature Engineering, Model Validation, Data Pipelines, Unsupervised Learning
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/phpyzzvw45

## About the Role

* 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 and/or Python.
 * Familiarity with software engineering practices for developing maintainable systems.
 * Experience working with large datasets and building data pipelines for feature generation, model training, or inference.
 * Proficiency in supervised and unsupervised learning techniques, including classification, clustering, similarity scoring, or anomaly detection.
 * Ability to evaluate models using sound statistical methods and understand trade-offs involving precision, recall, accuracy, and confidence.
 * Ability to write understandable, testable, and maintainable code.
 * Strong communication skills, including the ability to explain technical concepts, model behavior, and trade-offs to engineers, researchers, and product managers.

Work Arrangement

 * Remote within the United States.

## Description

Censys is seeking a Senior Machine Learning Engineer to develop machine learning models and data-driven systems that classify, label, and enrich large volumes of internet data. The role focuses on transforming raw internet telemetry into high-quality datasets, classifications, and insights that support customer-facing products and internal systems.

You will contribute to the development of applied machine learning workflows and help expand the company's data platform to support future products and features. Working with distributed infrastructure for internet-wide scanning, you will collaborate with engineering, research, security, and product teams to improve data coverage, quality, and context., * Build and improve machine learning models and data-driven systems to classify, cluster, label, and enrich internet-observed assets and services.

 * Own the design and development of applied machine learning workflows that transform raw internet telemetry into useful context for internal systems and customer-facing products.
 * Collaborate with engineering, research, security, and product teams to develop appropriate models, datasets, and feedback loops.
 * Develop and maintain feature pipelines, training datasets, model evaluation frameworks, and confidence-scoring systems.
 * Build services that operate in cloud-based or on-premises environments.
 * Contribute to improving the coverage and quality of internet data classifications and insights.