Cyber Machine Learning Engineer, Senior

About the role

The Cyber Machine Learning Engineer, Senior position at Booz Allen involves contributing to the development of models and software that defend the nation. You will work on the cutting edge of operational technologies for cybersecurity settings, incorporating open-source tools, innovative methods, and cloud resources to enhance detection and defense capabilities.

Responsibilities

• Contribute to novel and impactful work using machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for clients.
• Cut down on false positive alerts and time to detection by implementing continuous integration and delivery.
• 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.
• 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.

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.
• Ability to obtain a Secret clearance.

Qualifications

• Bachelor’s degree.
• 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.

Skills

• Machine learning and cybersecurity expertise.
• Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms.
• Experience with data warehousing, ETL, or data streaming technologies.
• Experience with SIEM technologies.
• Experience with developing novel solutions for challenging problems.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program.

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.