Cyber Machine Learning Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $86,800–$198,000 / yr
Posted: 44 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k

This role $142k

$66k most similar roles pay here $284k

This role pays less than 89% of similar roles. Most pay $176,000–$254,562 — the shaded band above. At the midpoint, this role pays about $142k versus about $215k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Cyber Machine Learning Engineer

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As a Cyber Machine Learning Engineer, you will join cross-functional teams of AI Engineers, Software Engineers, and Cyber Operators to design, develop, and operationalize AI-enabled solutions that enhance cyber defense, automation, and decision support. You will be responsible for identifying opportunities for machine learning within the cybersecurity domain, building production-grade systems, and mentoring junior team members. Your daily work involves training models for inference, analyzing security logs from endpoint and network data, and developing novel solutions to complex problems. The role requires proficiency in Python, Bash, Docker, Kubernetes, and Kafka, alongside experience with Splunk or ElasticSearch. You will utilize the MITRE ATT&CK framework and MISP threat sharing while leveraging tools like seQure. Technical skills include working with LLMs, NLP, data warehousing, ETL processes, and cloud platforms such as Azure, AWS, or GovCloud.

Skills

Machine Learning Python Bash Docker Kubernetes Kafka Splunk ElasticSearch NLP Azure AWS GovCloud ETL MITRE ATT&CK MISP Benthos RedPanda RabbitMQ

What you'll do

Design and develop AI/ML solutions to enhance cyber defense and automation.
Identify opportunities for machine learning applications within cybersecurity operations.
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.
Build data pipelines using ETL processes and streaming technologies like Kafka.
Analyze cyber threats and compromises using the MITRE ATT&CK framework and SIEM tools.
Prototype and iterate on novel solutions for complex technical problems.
Mentor junior team members and provide technical guidance as needed.

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 security logs.
2+ years of experience training machine learning models for inference and cyber investigations.
Experience with MITRE ATT&CK, MISP, or cyber intelligence platforms like seQure.
Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
Experience with data warehousing, ETL, streaming technologies (Kafka), and SIEM tools (Splunk/ElasticSearch).
Experience with LLMs, NLP, cloud platforms (Azure/AWS), and distributed systems.

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