Cyber Machine Learning Engineer, Senior at Booz Allen

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 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 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 with a polygraph 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; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not li