Cyber Machine Learning Engineer

Cyber Machine Learning Engineer
The Opportunity:
Designs, develops, and operationalizes AI/ML solutions that enhance cybersecurity capabilities. Works with cross-functional teams of AI Engineers, Software Engineers, and Cyber Operators to design, develop, and operationalize AI enabled solutions that enhance cyber defense, automation, and decision support. Applies cybersecurity expertise to identify opportunities for AI/ML. Apply advanced technical expertise to solve complex problems while contributing to the architecture and deployment of production grade AI systems. Work independently with minimal supervision and mentor junior team members as needed.
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
Experience working in a fast paced team rapidly prototyping and iterating
Ability to obtain a TS/SCI clearance
HS diploma or GED
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
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $86,800.00 to $198,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.

Skills
Machine Learning, Python, TypeScript, Kafka, RabbitMQ, AWS, Azure, Docker, Kubernetes, Elasticsearch