Cyber Machine Learning Engineer
Booz Allen Hamilton
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This role pays less than 79% of similar roles. Most pay $177,587–$248,215 — the shaded band above. At the midpoint, this role pays about $162k versus about $213k for comparable roles.
Based on 240 similar postings.
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Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has 777 open roles on FindRole.
Listed pay typically runs $86,800–$198,000 across 751 roles with salary data.
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As a Cyber Machine Learning Engineer, Senior, you will join a mission-oriented team focused on accelerating cyber defense and threat hunting through machine learning. You will identify opportunities for applying machine learning to unique cyber defense use cases, building, training, and packaging production-ready models to detect advanced persistent threats while implementing continuous integration and delivery to minimize manual testing. Your daily work involves utilizing open-source tools and cloud resources to reduce false positive alerts and improve detection times. The role requires expertise in Python, Bash, Docker, Kubernetes, Kafka, Splunk, or ElasticSearch, along with experience in the MITRE ATT&CK framework and MISP threat sharing. You will solve complex problems involving security logs, endpoint data, and network data to provide automated, near real-time detection for federal and commercial clients within a high-stakes cybersecurity environment.
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