ML Engineer II - Remote

TRENT HOEK OUTDOORS LLC
United States
1 day ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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

Job 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.

Requirements

  • 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.

About the company

Censys is a technology company focused on providing comprehensive, accurate, and up-to-date intelligence about the internet. Its mission is to create a trusted source for understanding internet infrastructure, digital assets, and security risks.

The company delivers real-time internet intelligence and actionable threat insights to governments worldwide, more than 50% of Fortune 500 companies, and leading threat intelligence providers. Its platform builds a detailed map of the internet through IP scanning, DNS lookups, web crawling, and the collection of millions of digital certificates.

Founded by security researchers, Censys develops technology that helps individuals and organizations understand their digital risk and exposure as the internet, Internet of Things (IoT), and cloud environments evolve.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Loading talks and stories from around this role…