Cyber Machine Learning Engineer – Senior
| Company | Booz Allen |
|---|---|
| Location | Washington, DC, USA, McLean, VA, USA, Arlington, VA, USA |
| Salary | $99000 – $225000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
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
- Experience utilizing intellectual curiosity and developing novel solutions for challenging problems
- Top Secret clearance
- Bachelor’s degree
Responsibilities
- Contribute to novel and impactful work using machine learning and cybersecurity expertise to enable and automate near real-time detection and defense against threat actors
- Incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection
- Implement continuous integration and delivery to limit manual testing and troubleshooting
- 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, adhering to software development best practices
- 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
Preferred Qualifications
- 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