Booz Allen

CyberMachineLearningEngineer,Senior

$99–99k Arlington, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Cyber Machine Learning Engineer, Senior at Booz Allen. Skills: Machine Learning, Cybersecurity, Python, Model Deployment. Contribute to novel work. Enable near real-time detection”

What You'll Achieve.

Accelerate pace of cyber defense; Accelerate pace of threat hunting; Enable and automate near real-time detection; Enable and automate near real-time defense; Cut down on false positive alerts; Reduce time to detection; Limit manual testing; Limit troubleshooting; Detect advanced persistent threats; Defend the nation

Industry & Context.

Problems you'll solve

Develop novel solutions for challenging problem sets; Creative solutions

Eligibility Requirements

Top Secret clearance, TS/SCI clearance with a polygraph, Security investigation, Eligibility for classified access, Identity verification process, Biometrics and artificial intelligence for authenticity, On camera during interviews and assessments, Use of cameras during virtual meetings

What They're Looking For.

Must Have

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, Experience with developing novel solutions for challenging problems, Top Secret clearance, Bachelor's degree

Nice to 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 with a polygraph, Master's degree, Doctorate degree a plus

What You'll Do.

Contribute to novel work

Enable near real-time detection

Automate near real-time defense

Incorporate open-source tools

Incorporate innovative methods

Incorporate cloud resources

Cut down false positive alerts

Reduce time to detection

Implement continuous integration

Implement continuous delivery

Identify machine learning applications

Build production-ready models

Train production-ready models

Package production-ready models

Detect advanced persistent threats

Adhere to software development best practices

Stay aware of latest research

Develop novel solutions

Work on operational technologies

Build models for defense

Build software for defense

How You'll Work.

Team & Collaboration

Work on a driven, mission-oriented team; Collaborate with product clients; Collaborate with Department of Defense clients; Collaborate with federal clients; Collaborate with commercial clients

Full Job Description

Cyber Machine Learning Engineer, Senior **The Opportunity:** Are you interested in accelerating the pace of cyber defense and threat hunting with machine learning? Do you want to be part of a driven, mission-oriented team? As a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. You will incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. You will implement continuous integration and delivery to limit manual testing and troubleshooting. You will identify opportunities for effective applications of machine learning to unique cyber defense use cases. You’ll build, train, and package production-ready models in service of detection of advanced persistent threats, adhering to software development best practices. You’ll 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. The problems we solve are not found in textbooks and require creative solutions. You will work on the cutting edge of operational technologies for cybersecurity settings. This is an opportunity to build your experience in cyber defense and machine learning while developing models and software that will defend the nation. Join our team as we build tools to transform the future. The position is located in Arlington, VA. Join us. The world can’t wait. **You Have:** * 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 investigatio

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