AI/ML Malware Engineer (TS/SCI)

Nyla Technology Solutions; Maryland; On-site; USD 156,000 - 184,000; Full time

Benefits offered by this job

Nyla FLEX program

Job summary

Nyla Technology Solutions in Columbia, Maryland, is seeking an innovative AI/ML Malware Engineer to bridge cutting-edge AI with front-line cyber defense. You will design, train, evaluate, and deploy machine learning models that automate threat detection, artifact classification, and binary triage.

Active TS/SCI polygraph clearance is required. The role collaborates with Malware Analysts, uses modern MLOps, and leverages TensorFlow, PyTorch, and scikit-learn to process high-volume payloads and

Qualifications

• Bachelor’s Degree in Data Science, CS, Computational Linguistics, Mathematics, or related field with 10+ years in data science, NLP, or software engineering.
• Or Associate’s Degree with 12+ years of specialized technical experience in lieu of a degree.
• Strong Python and ML framework experience (scikit-learn, TensorFlow, PyTorch) required.

Responsibilities

• Design, train, evaluate, and deploy ML models to automate threat detection and artifact classification.
• Collaborate with Malware Analysts to enable rapid binary triage and feature extraction.
• Build and maintain ML pipelines and scalable inference services in production.

Skills

AI/ML

Model Development

Malware Analysis

Python

TensorFlow

PyTorch

ML Ops

Education

Bachelor’s Degree + 10+ years of exp in data science / NLP / software engineering

Associate’s Degree + 12+ years of specialized technical experience

Tools

Ghidra

IDA Pro

Cuckoo Sandbox

AWS SageMaker

Kubernetes

Apache Spark

Job description

Nyla Technology Solutions in Columbia, Maryland, is seeking an innovative AI/ML Malware Engineer to bridge cutting-edge AI with front-line cyber defense. You will design, train, evaluate, and deploy machine learning models that automate threat detection, artifact classification, and binary triage.

Active TS/SCI polygraph clearance is required. The role collaborates with Malware Analysts, uses modern MLOps, and leverages TensorFlow, PyTorch, and scikit-learn to process high-volume payloads and