Senior Cyber Machine Learning Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$99,000–$225,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $162k
$79k most similar roles pay here $283k

This role pays less than 79% of similar roles. Most pay $177,587–$248,215 — the shaded band above. At the midpoint, this role pays about $162k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 777 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 751 roles with salary data.

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At a glance

TL;DR · Senior Cyber Machine Learning Engineer

As a Cyber Machine Learning Engineer, Senior, you will join a mission-oriented team focused on accelerating cyber defense and threat hunting through machine learning. You will identify opportunities for applying machine learning to unique cyber defense use cases, building, training, and packaging production-ready models to detect advanced persistent threats while implementing continuous integration and delivery to minimize manual testing. Your daily work involves utilizing open-source tools and cloud resources to reduce false positive alerts and improve detection times. The role requires expertise in Python, Bash, Docker, Kubernetes, Kafka, Splunk, or ElasticSearch, along with experience in the MITRE ATT&CK framework and MISP threat sharing. You will solve complex problems involving security logs, endpoint data, and network data to provide automated, near real-time detection for federal and commercial clients within a high-stakes cybersecurity environment.

What you'll do

  • Identify and implement machine learning applications for unique cyber defense use cases.
  • Build, train, and package production-ready models to detect advanced persistent threats.
  • Automate near real-time detection and defense systems to reduce false positives and time to detection.
  • Implement continuous integration and delivery pipelines to minimize manual testing and troubleshooting.
  • Develop novel solutions for complex cybersecurity problems using open-source tools and cloud resources.
  • Analyze security logs, endpoint data, and network data to perform cyber threat hunting.
  • Manage data warehousing, ETL processes, and data streaming technologies like Kafka.
  • Deploy production-level models using Python, Bash, Docker, or Kubernetes.

What we're looking for

  • Top Secret clearance.
  • 2+ years of experience with cyber threat hunting and analysis of compromises within security logs.
  • 2+ years of experience exploring datasets, training machine learning models for inference, and utilizing output for investigations.
  • Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms like seQure.
  • Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
  • Experience with data warehousing, ETL, or streaming technologies including Kafka; experience with SIEM tools like Splunk or ElasticSearch.
  • Experience with LLMs, NLP, data science workflows, cloud platforms (Azure/AWS), or advanced degrees (preferred).
  • Bachelor’s degree.

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