Cyber Machine Learning Engineer, Senior

Based in Arlington, VA, this onsite role centers on applying machine learning to cyber defense and threat hunting, delivering production-ready models to detect advanced threats for DoD, federal, and commercial clients.

Responsibilities

• Advance cyber defense and threat hunting through machine learning to enable near real-time detection and response for government and commercial clients.
• Incorporate open-source tools, innovative approaches, and cloud resources to reduce false positives and accelerate detection.
• Implement continuous integration and delivery to minimize manual testing and troubleshooting.
• Identify opportunities for applying machine learning to unique cyber defense use cases.
• Build, train, and package production-ready models to detect advanced persistent threats, following software development best practices.
• Stay current with the latest research in machine learning and cybersecurity, demonstrating intellectual curiosity and a track record of novel解决方案 for difficult problems.
• Engage with cutting-edge operational technologies in cybersecurity settings.

Requirements

• Minimum 2 years of experience in cyber threat hunting and analysis of compromises within security logs, including endpoint and network data.
• At least 2 years of experience exploring datasets, training ML models for inference, and leveraging results to advance cyber investigations.
• Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms including seQure.
• Experience packaging and deploying production-grade 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.
• Proven ability to develop 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 with large language models (LLMs), natural language processing (NLP), and data science workflows.
• Experience with data brokers such as Kafka, Confluent, Benthos, RedPanda, or RabbitMQ.
• Experience with cloud platforms such as Azure, AWS, 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 location, the individual’s education, knowledge, skills, competencies, and experience, along with contract-specific affordability and organizational requirements. The projected annualized range for this position is $99,000.00 to $225,000.00. The displayed estimate represents the typical salary range for this role and forms one component of Booz Allen’s total compensation.

Identity Statement

As part of the hiring process, you may be asked to complete an identity verification process that uses biometrics and artificial intelligence to ensure authenticity and protect against fraud. Candidates are expected to be on camera during interviews and assessments. Booz Allen reserves the right to capture imagery to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is integrated into Booz Allen's daily operations, with a commitment to responsible and ethical use. For fairness in candidate evaluation, the use of AI or other tools to assist with interview responses is prohibited unless explicit permission is granted.

Work Model

Onsite: Work will primarily take place at a Booz Allen office or a customer facility, with direct collaboration with colleagues and clients as required 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 laws.