Senior Machine Learning Engineer

🕒 August 26

🇺🇸 United States – Remote

💵 $151k - $191k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Censys

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔒 Cybersecurity

🏢 Enterprise

Cybersecurity • Enterprise • Data

Censys is a leading Internet Intelligence Platform that specializes in Threat Hunting and Attack Surface Management. It provides security teams with a comprehensive, accurate, and up-to-date map of the internet to defend against attacks and hunt for threats. Censys offers solutions for Cloud Asset Discovery, Exposure and Risk Management, and External Attack Surface Management. Its proprietary Internet Map delivers detailed insights and extensive internet scanning capabilities, allowing organizations to continuously monitor internal and external attack surfaces. Founded by the creators of ZMap at the University of Michigan, Censys is deeply rooted in the security open source community and boasts a large internet intelligence community. Censys empowers organizations, including those in financial services, government, and healthcare, to act swiftly against evolving threats and protect their internet-facing assets effectively.

📋 Description

• 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 transform raw Internet telemetry into usable context for internal systems and customer-facing products • Partner with engineering, research, security, and product teams to build appropriate models, datasets, and feedback loops that improve coverage and quality • Build feature pipelines, training datasets, model evaluation frameworks, confidence scoring systems, and services running in the cloud or on-premises

🎯 Requirements

• 5+ years of experience in data science, machine learning engineering, or software engineering with applied ML responsibilities • Experience building and deploying machine learning or statistical models in production environments • Experience programming in Go/Python • Familiarity with software engineering practices for building maintainable systems • Experience working with large datasets and building data pipelines for feature generation, training, or inference • Proficiency with supervised and unsupervised learning techniques, including classification, clustering, similarity scoring, or anomaly detection • Ability to evaluate models using sound statistics and understand precision, recall, accuracy, and confidence tradeoffs • Ability to write understandable, testable, maintainable code • Strong communication skills and ability to explain technical concepts, model behavior, and tradeoffs to engineers, researchers, and product managers • Experience building classification, enrichment, or labeling systems for messy or partially labeled data • Experience deploying models in containerized environments such as Kubernetes • Experience with at least one cloud provider such as AWS, Azure, or GCP • Familiarity with feature stores, model serving, MLOps workflows, or experiment-tracking tools • Familiarity with security, Internet measurement, or network-derived datasets

🏖️ Benefits

• Bonus eligibility for eligible non-sales roles • Equity • Health, dental & vision coverage • Retirement with company contribution • Parental leave • Mental health & wellness benefits • Flexible PTO • Professional development stipend • Reasonable accommodation for individuals with disabilities • In-person onboarding at Censys headquarters in Ann Arbor