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Senior Machine Learning Engineer

CensysAttack Surface company
Remote$151,000 USD - $191,000 USDSenior
Morgan Stanley Expansion Capital
Decibel Partners
Greylock Partners logo
Greylock Partners
GV logo
GV
Intel Capital logo
Intel Capital
Ascension Ventures
Data & AINew

About the role

TL;DR

Build models and data systems to classify and enrich Internet data.

  • Censys is seeking a Senior Machine Learning Engineer to develop models and data-driven systems for classifying, labeling, and enriching vast amounts of Internet data.
  • You will transform raw Internet telemetry into high-quality datasets and insights, contributing to Censys' mission to make the Internet more explainable.
  • Key Responsibilities Build and improve ML models and data-driven systems for classifying, clustering, labeling, and enriching Internet-observed assets.
  • Own the design and development of applied ML workflows to convert Internet telemetry into usable context.
  • Partner with engineering, research, security, and product teams to enhance model coverage and quality.
  • Develop system components including feature pipelines, training datasets, model evaluation frameworks, and confidence scoring systems.
  • Requirements 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.
  • Proficiency in Go/Python and experience with building maintainable systems.
  • Experience with large datasets and building data pipelines for feature generation, training, or inference.
  • Proficiency with supervised and unsupervised learning techniques (classification, clustering, anomaly detection).
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Required skills

PythonGoscikit-learnDockerKubernetesAWSGoogle CloudAzure

Nice-to-have skills

TensorFlowPyTorchMLflowKubeflowSageMakerVertex AI

Domain expertise

cybersecuritydeveloper-tools

Benefits & perks

equity, health insurance, dental insurance, vision insurance, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, professional development stipend, annual bonus plan

Tech stack

PythonGoTensorFlowPyTorchscikit-learnAWSGoogle CloudAzureDockerKubernetes

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