Cyber Machine Learning Engineer

Cyber Machine Learning Engineer

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 diverse, 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 against threat actors 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 cyber security 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 the Washington metro area.

Join us. The world can’t wait. 

You Have:  

• 3+ years of experience with cyber threat hunting and analysis of compromises within security logs, including endpoint and network data

• 3+ 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, and cyber intelligence platforms

• Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes

• Experience with data streaming, ETL, and data warehousing technologies

• Experience with SIEM technologies such as Splunk or ElasticSearch

• Experience utilizing intellectual curiosity and developing novel solutions for challenging problems

• TS/SCI 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; TS/SCI 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 limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.