Cyber Machine Learning Engineer (AI)

TL;DR

Cyber Machine Learning Engineer (AI): Designing and operationalizing AI/ML solutions to enhance cybersecurity capabilities with an accent on threat hunting, security log analysis, and production-grade model deployment. Focus on building automated defense systems, integrating with SIEM technologies, and solving complex cyber intelligence challenges.

Location: Must be based in the United States. This role may require occasional in-person work at a Booz Allen or customer facility.

Compensation: $86,800–$198,000 (annualized USD).

Company

A global consulting firm providing professional services in management, technology, and engineering, with a strong focus on defense and intelligence sectors.

What you will do

• Design and develop AI/ML solutions to improve cyber defense and decision support.
• Collaborate with cross-functional teams of AI engineers, software developers, and cyber operators.
• Apply cybersecurity expertise to identify and implement AI-driven automation opportunities.
• Architect and deploy production-grade AI systems for security environments.
• Mentor junior team members and work independently on complex technical problems.

Requirements

• Must be a US citizen and able to obtain a TS/SCI clearance.
• 2+ years of experience in cyber threat hunting and security log analysis.
• 2+ years of experience in training ML models for inference and cyber investigations.
• Proficiency in Python, Bash, Docker, and Kubernetes for model deployment.
• Experience with SIEM technologies like Splunk or ElasticSearch.
• Familiarity with MITRE ATT&CK framework and data streaming technologies like Kafka.

Nice to have

• Experience with LLMs, NLP, and advanced data science workflows.
• Experience with cloud platforms such as Azure, AWS, or GovCloud.
• Active TS/SCI clearance with polygraph.

Culture & Benefits

• Comprehensive health, life, disability, and retirement benefits.
• Paid leave and professional development opportunities.
• Tuition assistance and work-life balance programs.
• Collaborative, people-first culture with support for virtual and in-person engagement.