# Senior Machine Learning Engineer

**Company:** [Censys](https://hotfix.jobs/companies/censys)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $151k – $191k/yr
**Experience:** 5+ years
**Skills:** Python, Go, Machine Learning, Data Pipelines, Supervised Learning, Unsupervised Learning, Kubernetes, AWS, Azure, GCP, MLOps, Model Serving, Feature Stores, Experiment Tracking, Anomaly Detection
**Posted:** 2026-08-26

> Build and deploy production machine-learning models and data systems that classify and enrich Internet telemetry for internal platforms and customer-facing products. The role requires 5+ years of applied ML, data science, or software engineering experience, plus strong Python or Go skills.

## Job Description

## Responsibilities
- Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
- Design and develop applied ML workflows that transform raw Internet telemetry into context for internal systems and customer-facing products.
- Partner with engineering, research, security, and product teams to develop models, datasets, and feedback loops that improve coverage and quality.
- Build feature pipelines, training datasets, model evaluation frameworks, confidence-scoring systems, and cloud or on-premises services.

## 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.
- Experience programming in Go or Python and applying software engineering practices to maintainable systems.
- Experience working with large datasets and building 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 assess precision, recall, accuracy, and confidence tradeoffs.
- Ability to write understandable, testable, maintainable code.
- Strong communication skills, including explaining technical concepts, model behavior, and tradeoffs to engineering, research, and product audiences.

## Nice-to-haves
- Experience building classification, enrichment, or labeling systems for messy or partially labeled data.
- Experience deploying models in containerized environments such as Kubernetes.
- Experience with a cloud provider such as AWS, Azure, or Google Cloud.
- Familiarity with feature stores, model serving, MLOps workflows, or experiment-tracking tools.
- Familiarity with security, Internet measurement, or network-derived datasets.

## Compensation
- High cost-of-living locations, including San Francisco Bay, New York City, and Seattle: $174,000 USD–$206,000 USD, plus bonus eligibility and equity.
- All other locations: $151,000 USD–$191,000 USD, plus bonus eligibility and equity.
- Compensation is localized based on employee work location for remote roles, with a factor of 83%–100% of the listed range.
- Benefits include equity, health, dental and vision coverage, retirement contributions, parental leave, mental health and wellness benefits, flexible PTO, professional development support, and an annual bonus plan for eligible non-sales roles.

## Similar jobs

- [Senior AI Engineer](https://hotfix.jobs/jobs/4614c8ea-6d88-4da9-bf76-4d241c80e799) - Blee - San Francisco, CA - $150k – $275k/yr
- [Senior Software Engineer II , Marketplace](https://hotfix.jobs/jobs/e62719a6-4b3e-4dfd-92c3-459395da7284) - Apartment List - Remote - $145k – $207k/yr
- [Senior Machine Learning Operations Engineer](https://hotfix.jobs/jobs/102dd624-6c60-41dd-823e-299c080f8b33) - Mercury - Remote - $157k – $208k/yr
- [Lead Applied AI Engineer](https://hotfix.jobs/jobs/e352036f-4480-44cd-a998-d33829aad30e) - LangChain - New York, NY - $160k – $200k/yr
- [Senior Data Science Engineer](https://hotfix.jobs/jobs/478eed0c-ff82-4528-822f-35cd9032cf1f) - LegitScript - Remote - $160k – $175k/yr

**Apply:** https://hotfix.jobs/jobs/083e1f7a-61b8-4297-a585-fe35a63d14cb
**Canonical:** https://hotfix.jobs/jobs/083e1f7a-61b8-4297-a585-fe35a63d14cb