Senior Cyber Machine Learning Engineer

What you'll do

• Identify opportunities to apply machine learning models to unique cyber defense use cases.
• Build, train, and package production-ready machine learning models for detecting advanced persistent threats.
• Automate near real-time detection and defense systems using open-source tools and cloud resources.
• Reduce false positive alerts and decrease time to detection through automated processes.
• Implement continuous integration and delivery pipelines to minimize manual testing and troubleshooting.
• Analyze security logs, including endpoint and network data, to conduct cyber threat hunting.
• Develop novel solutions for complex cybersecurity problems using Python, Bash, Docker, or Kubernetes.
• Manage data warehousing, ETL, and streaming technologies like Kafka to support machine learning workflows.

What we're looking for

• Bachelor's degree required; Master's preferred and Doctorate is a plus.
• Ability to obtain a Secret clearance.
• 2+ years of experience with cyber threat hunting and analysis of compromises within security logs.
• 2+ years of experience exploring datasets, training machine learning models for inference, and utilizing output for investigations.
• Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes.
• Experience with data warehousing, ETL, or data streaming technologies like Kafka.
• Experience with SIEM technologies such as Splunk or ElasticSearch.
• Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms.