Cyber Machine Learning Engineer, Senior
AI summary of the role
Senior-level role applying machine learning to cyber defense and threat hunting for DoD, federal, and commercial clients.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Apply machine learning to automate near real-time cyber detection and defense for DoD, federal, and commercial clients.
- Build, train, and package production-ready ML models for detection of advanced persistent threats.
- Implement continuous integration and delivery to limit manual testing and troubleshooting.
- Identify opportunities for effective ML applications to unique cyber defense use cases.
What you’ll bring
- 2+ years of cyber threat hunting and analysis of compromises within security logs (endpoint and network data).
- 2+ years of experience exploring datasets, training ML models for inference, and using output for cyber investigations.
- Experience with MITRE ATT&CK, MISP, or cyber intelligence platforms (e.g., seQure).
- Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
Technologies
Python · Bash · Docker · Kubernetes · Kafka · Splunk · ElasticSearch · MITRE ATT&CK · MISP · seQure
About Booz Allen
Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Cyber Machine Learning Engineer, Senior The Opportunity: Are you interested in accelerating the pace of cyber defense and threat hunting with machine learning? Do you want to be part of a driven, mission-oriented team? As a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. You will incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. You will implement continuous integration and delivery to limit manual testing and troubleshooting. You will identify opportunities for effective applications of machine learning to unique cyber defense use cases. You’ll build, train, and
More from the job description
Cyber Machine Learning Engineer, Senior The Opportunity: Are you interested in accelerating the pace of cyber defense and threat hunting with machine learning? Do you want to be part of a driven, mission-oriented team? As a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. You will incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. You will implement continuous integration and delivery to limit manual testing and troubleshooting. You will identify opportunities for effective applications of machine learning to unique cyber defense use cases. You’ll build, train, and package production-ready models in service of detection of advanced persistent threats, adhering to software development best practices. You’ll stay aware of latest research in machine learning and cybersecurity, demonstrating a history of intellectual curiosity and interest towards developing novel solutions for challenging problem sets. The problems we solve are not found in textbooks and require creative solutions. You will work on the cutting edge of operational technologies for cybersecurity [... source excerpt omitted ...] to further cyber investigations Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms, including seQure Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes Experience with data warehousing, ETL, or data streaming technologies, including Kafka Experience with SIEM technologies such as Splunk or ElasticSearch Experience with developing novel solutions for challenging problems Top Secret clearance Bachelor’s degree Nice If You Have: Experience working with large language models (LLMs), natural language processing (NLP), and data science workflows Experience with data brokers, including Ka [... source excerpt omitted ...] with a polygraph Master’s degree preferred; Doctorate degree a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superi
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