Senior Security Solutions Developer

Nyla Technology Solutions

Corridor North (MD)

On-site

USD 156,000 - 184,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive benefits package

Job summary

Nyla Technology Solutions seeks an AI/ML Malware Engineer to bridge cutting-edge artificial intelligence with front-line cyber defense. You will design, train, evaluate, and deploy machine learning models to automate threat detection, artifact classification, and binary triage, working closely with Malware Analysts to transform indicators into actionable intelligence.

You will leverage modern MLOps pipelines and ML frameworks to build scalable solutions that detect obfuscation techniques and

Responsibilities

  • Design, train, evaluate and deploy ML models that automate threat detection, artifact classification, and binary triage.
  • Collaborate with Malware Analysts to translate indicators into actionable intelligence.

Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We are seeking an innovative AI/ML Malware Engineer to bridge cutting-edge artificial intelligence with front-line cyber defense. In this high-impact role, you will work directly alongside Malware Analysts to design, train, evaluate, and deploy machine learning models that automate threat detection, artifact classification, and binary triage. Leveraging modern MLOps pipelines and machine learning frameworks, you will build automated models capable of recognizing complex malware behaviors, detecting obfuscation techniques, and processing high-volume payload samples. Your work will directly empower analysts to stay ahead of sophisticated cyber adversaries by transforming raw technical indicators into actionable intelligence.

The annual base salary range for this role is $156,000-$184,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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