Cyber Machine Learning Engineer, Senior

Booz Allen Hamilton is seeking a Senior Cyber Machine Learning Engineer to apply machine learning to cyber defense and threat hunting, delivering production-ready models that detect advanced threats for DoD, federal, and commercial clients. This onsite role in Arlington, VA combines hands-on ML development with practical cybersecurity operations, supporting near real-time defense across government, defense, and commercial environments.

Responsibilities

• Accelerate cyber defense and threat hunting with machine learning to enable near real-time detection and defense for Department of Defense, federal, and commercial clients.
• Incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection.
• Implement continuous integration and delivery to limit manual testing and troubleshooting.
• Identify opportunities for effective applications of machine learning to unique cyber defense use cases.
• Build, train, and package production-ready models in service of detection of advanced persistent threats, adhering to software development best practices.
• 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.
• Work on the cutting edge of operational technologies for cybersecurity settings.

Requirements

• 2+ years of experience with cyber threat hunting and analysis of compromises within security logs, including endpoint and network data
• 2+ years of experience exploring datasets, training machine learning models to perform inference, and utilizing the output 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
• Ability to obtain a Secret clearance
• Bachelor’s degree

Technologies

• Python
• Bash
• Docker
• Kubernetes
• Kafka
• ElasticSearch
• Splunk
• MITRE ATT & CK framework
• MISP
• seQure
• Confluent
• Benthos
• RedPanda
• RabbitMQ
• Azure
• AWS
• GovCloud
• Large language models (LLMs)
• NLP

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Nice if you have

• Experience working with large language models (LLMs), natural language processing (NLP), and data science workflows
• Experience with data brokers, including Kafka, Confluent, Benthos, RedPanda, or RabbitMQ
• Experience with cloud platforms, including Azure, AWS, or GovCloud, or distributed systems
• TS/SCI clearance
• 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.

Compensation

Salary at Booz Allen is determined by various factors, including location, the individual’s education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total comp.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.