Cyber Machine Learning Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 90 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $218k

$162k $278k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $187,137–$249,000.

Based on 240 similar postings.

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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 1660 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 902 roles with salary data.

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At a glance

TL;DR · Cyber Machine Learning Engineer

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The Cyber Machine Learning Engineer joins a cross-functional team of AI Engineers, Software Engineers, and Cyber Operators to design, develop, and operationalize AI-enabled solutions. This role focuses on enhancing cyber defense, automation, and decision support by identifying opportunities for machine learning within cybersecurity workflows. You will build and deploy production-grade AI systems, perform cyber threat hunting, and analyze compromises within security logs. Key responsibilities include training models for inference, managing data warehousing, and developing novel solutions for complex problems. Required technical skills include Python, Bash, Docker, Kubernetes, and Kafka, alongside experience with SIEM technologies like Splunk or ElasticSearch. You must also possess expertise in the MITRE ATT&CK framework, MISP threat sharing, and cyber intelligence platforms like seQure to solve critical security challenges.

Skills

Python Docker Kubernetes Kafka Splunk ElasticSearch AWS Azure NLP LLMs Bash ETL MITRE ATT&CK MISP RabbitMQ Confluent Benthos RedPanda Data Science

What you'll do

Design, develop, and operationalize AI/ML solutions to enhance cyber defense and automation.
Identify cybersecurity opportunities for AI/ML application using technical expertise.
Train machine learning models to perform inference on security logs and network data.
Package and deploy production-level models using Python, Bash, Docker, or Kubernetes.
Manage data warehousing, ETL, or data streaming processes using technologies like Kafka.
Utilize SIEM technologies such as Splunk or ElasticSearch for threat analysis.
Prototype and iterate novel solutions for complex cybersecurity problems.
Mentor junior team members on technical tasks and project goals.

What we're looking for

High school diploma or GED.
Ability to obtain a TS/SCI clearance.
2+ years of experience with cyber threat hunting and analysis of compromises within security logs.
2+ years of experience exploring datasets and training machine learning models to perform inference for cyber investigations.
Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms.
Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
Experience with data warehousing, ETL, or data streaming technologies like Kafka, and SIEM technologies like Splunk or ElasticSearch.
Experience with LLMs, NLP, data science workflows, cloud platforms, or distributed systems (preferred).

Machine Learning Engineer

Booz Allen Hamilton

Arlington, VA +2 28 days ago

Python C++ Rust Java scikit-learn TensorFlow PyTorch Deep Learning Computer Vision Generative AI LLMs LangChain LangGraph MCP Supervised Learning Unsupervised Learning Cursor Data Science ML Engineering

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