Booz Allen Hamilton seeks a Senior Cyber Machine Learning Engineer for an onsite role in Arlington, VA. This position focuses on applying machine learning to cyber defense and threat hunting, building production-ready models to detect advanced threats for DoD, federal, and commercial clients. It sits at the crossroads of defense expertise and data-driven security, turning research into deployable protections.
Responsibilities
- Accelerate cyber defense and threat hunting by deploying machine learning to enable near real-time detection and response for DoD, federal, and commercial customers.
- Leverage open-source tools, innovative methods, and cloud resources to reduce false positives and shorten detection cycles.
- Implement continuous integration and delivery pipelines to minimize manual testing and troubleshooting.
- Identify opportunities to apply machine learning to unique cyber defense use cases.
- Build, train, and package production-ready models that detect advanced persistent threats, following software development best practices.
- Stay current with advances in machine learning and cybersecurity, demonstrating curiosity and a drive to develop novel solutions.
- Contribute to cutting-edge operational technologies in cybersecurity settings.
Requirements
- 2+ years in cyber threat hunting and analysis of compromises within security logs, including endpoint and network data
- 2+ years of exploring datasets, training machine learning models to perform inference, and using the outputs to advance 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 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
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- 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), 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
The typical annual salary range for this position is $99,000 to $225,000 USD, with final figures determined by location, education, experience, and contract requirements. This range reflects Booz Allen Hamilton's compensation philosophy and is one component of total compensation.
Identity verification
As part of the hiring process, you will complete an identity verification process that uses biometrics and artificial intelligence to ensure authenticity and prevent fraud. Interviews and assessments may require you to be on camera, and Booz Allen Hamilton may capture your photo for identity verification purposes.
Candidate AI usage policy
AI tools are part of Booz Allen's daily work, and use in interviews is prohibited unless explicitly permitted. The company emphasizes a fair process based on your own skills and knowledge.
Work model
Onsite roles are performed primarily at a Booz Allen office or customer facility, with collaboration required with colleagues and clients as needed by the role.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
