Remote ML Security Engineer – AI & Model Defense

Bright Vision Technologies

United States

Remote

USD 100.000 - 150.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Bright Vision Technologies is seeking an ML Security Engineer to join remotely in the United States. The role focuses on designing security controls for AI/ML systems, threat modeling, and incident response tailored to AI workloads and model infrastructure.

The ideal candidate has 6+ years in security engineering, deep knowledge of LLM internals, and hands-on experience securing AI-powered applications and pipelines. Remote, full-time with direct employment.

Qualifikationen

  • 6+ years of security engineering experience in AI/ML systems.
  • Experience designing AI security controls and threat models.
  • Strong knowledge of LLM internals and AI architectures.

Aufgaben

  • Define security controls for LLM and AI-powered apps.
  • Build threat models for AI systems (prompt injection, data exfiltration).
  • Design guardrails and policy enforcement around model endpoints.
  • Implement runtime detection and response for adversarial prompts.
  • Secure training and fine-tuning pipelines with data provenance.
  • Lead red-team exercises against AI systems and remediation efforts.
  • Collaborate with privacy, legal, and compliance teams.
  • Develop monitoring and logging for AI workloads.
  • Lead incident response for AI security events and drive improvements.

Kenntnisse

Threat modeling
LLM security
AI security
Python
Systems language
Cloud security
Security architecture
Communication

Ausbildung

CS/ Cybersecurity degree

Tools

AWS / GCP / Azure

Jobbeschreibung

Bright Vision Technologies is seeking an ML Security Engineer to join remotely in the United States. The role focuses on designing security controls for AI/ML systems, threat modeling, and incident response tailored to AI workloads and model infrastructure.

The ideal candidate has 6+ years in security engineering, deep knowledge of LLM internals, and hands-on experience securing AI-powered applications and pipelines. Remote, full-time with direct employment.

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